Triple
T15103381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest Metro Line 4 |
E360724
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Fővám tér
Fővám tér is a central square and major public transport hub in Budapest, located by the Danube near the historic Great Market Hall.
|
E1169024
|
NE FINISHED |
How this triple was built (4 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: Fővám tér | Statement: [Budapest Metro Line 4, hasStation, Fővám tér]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fővám tér Context triple: [Budapest Metro Line 4, hasStation, Fővám tér]
-
A.
Rákóczi tér
Rákóczi tér is a public square and transport hub in Budapest known for its central location and metro station in the Józsefváros district.
-
B.
Nagyvárad tér
Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
-
C.
Vörösmarty tér
Vörösmarty tér is a prominent central square in Budapest, Hungary, known for its historic cafés, shopping streets, and seasonal markets.
-
D.
Erzsébet tér
Erzsébet tér is a central square and popular public park in downtown Budapest, known for its green spaces, cultural venues, and vibrant urban atmosphere.
-
E.
Bécsi kapu tér
Bécsi kapu tér is a historic square in Budapest’s Castle District, known for its medieval atmosphere, notable buildings, and proximity to the Vienna Gate.
- 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: Fővám tér Triple: [Budapest Metro Line 4, hasStation, Fővám tér]
Generated description
Fővám tér is a central square and major public transport hub in Budapest, located by the Danube near the historic Great Market Hall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fővám tér Target entity description: Fővám tér is a central square and major public transport hub in Budapest, located by the Danube near the historic Great Market Hall.
-
A.
Rákóczi tér
Rákóczi tér is a public square and transport hub in Budapest known for its central location and metro station in the Józsefváros district.
-
B.
Nagyvárad tér
Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
-
C.
Vörösmarty tér
Vörösmarty tér is a prominent central square in Budapest, Hungary, known for its historic cafés, shopping streets, and seasonal markets.
-
D.
Erzsébet tér
Erzsébet tér is a central square and popular public park in downtown Budapest, known for its green spaces, cultural venues, and vibrant urban atmosphere.
-
E.
Bécsi kapu tér
Bécsi kapu tér is a historic square in Budapest’s Castle District, known for its medieval atmosphere, notable buildings, and proximity to the Vienna Gate.
- F. None of above. chosen
Provenance (5 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677b7be08190afc2767835836908 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff67f64d2c81908fd2d8a09cd0b369 |
completed | May 9, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.