Triple
T10351512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest Nyugati railway station |
E243891
|
entity |
| Predicate | sisterTerminals |
P61733
|
FINISHED |
| Object |
Budapest Keleti railway station
Budapest Keleti railway station is the main international and long-distance railway terminal in Budapest, Hungary, serving as a major transportation hub in Central Europe.
|
E862788
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Budapest Keleti railway station | Statement: [Budapest Nyugati railway station, sisterTerminals, Budapest Keleti railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budapest Keleti railway station Context triple: [Budapest Nyugati railway station, sisterTerminals, Budapest Keleti railway station]
-
A.
Budapest Nyugati railway station
Budapest Nyugati railway station is one of Budapest’s main historic railway terminals, notable for its grand 19th-century iron-and-glass architecture designed by the Eiffel Company.
-
B.
Kaposvár railway station
Kaposvár railway station is the main rail transport hub serving the city of Kaposvár in southwestern Hungary.
-
C.
Lehel station
Lehel station is a Munich U-Bahn underground railway station serving the Altstadt-Lehel district of Munich, Germany.
-
D.
Bajcsy-Zsilinszky út station
Bajcsy-Zsilinszky út station is an underground metro stop in central Budapest, Hungary, located on the historic Millennium Underground Railway (Metro Line 1), one of the oldest metro lines in continental Europe.
-
E.
Vörösmarty tér station
Vörösmarty tér station is the southern terminus and one of the central stops of Budapest’s historic M1 (Millennium Underground) metro line, located beneath Vörösmarty Square in the city center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Budapest Keleti railway station Triple: [Budapest Nyugati railway station, sisterTerminals, Budapest Keleti railway station]
Generated description
Budapest Keleti railway station is the main international and long-distance railway terminal in Budapest, Hungary, serving as a major transportation hub in Central Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Budapest Keleti railway station Target entity description: Budapest Keleti railway station is the main international and long-distance railway terminal in Budapest, Hungary, serving as a major transportation hub in Central Europe.
-
A.
Budapest Nyugati railway station
Budapest Nyugati railway station is one of Budapest’s main historic railway terminals, notable for its grand 19th-century iron-and-glass architecture designed by the Eiffel Company.
-
B.
Kaposvár railway station
Kaposvár railway station is the main rail transport hub serving the city of Kaposvár in southwestern Hungary.
-
C.
Lehel station
Lehel station is a Munich U-Bahn underground railway station serving the Altstadt-Lehel district of Munich, Germany.
-
D.
Bajcsy-Zsilinszky út station
Bajcsy-Zsilinszky út station is an underground metro stop in central Budapest, Hungary, located on the historic Millennium Underground Railway (Metro Line 1), one of the oldest metro lines in continental Europe.
-
E.
Vörösmarty tér station
Vörösmarty tér station is the southern terminus and one of the central stops of Budapest’s historic M1 (Millennium Underground) metro line, located beneath Vörösmarty Square in the city center.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterTerminals Context triple: [Budapest Nyugati railway station, sisterTerminals, Budapest Keleti railway station]
-
A.
sisterTerminal
chosen
Indicates that two terminals share a sibling-like relationship, typically meaning they are distinct but related endpoints within the same larger system or structure.
-
B.
numberOfTerminals
Indicates the total count of terminal points or endpoints associated with an entity.
-
C.
siblingBranch
Indicates that two branches share the same immediate parent node in a hierarchical structure, making them parallel or peer branches.
-
D.
sisterSubdivision
Indicates that two administrative or organizational subdivisions share a common parent division and are thus parallel or peer units to each other.
-
E.
supportsMultipleTerminals
Indicates that an entity is capable of handling or operating with more than one terminal or endpoint simultaneously.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9489f9481908fc1c818e81c1cc2 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e5867188190913cc74bfb87a6b7 |
completed | April 10, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69d8837e70508190b03e8983b2617eac |
completed | April 10, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d889cc40648190a1d80b955e676ea5 |
completed | April 10, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:57 a.m.