Triple
T11965691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moschato-Tavros |
E284784
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Tavros station
Tavros station is an Athens Metro railway station serving the Tavros district in the Athens metropolitan area of Greece.
|
E960086
|
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: Tavros station | Statement: [Moschato-Tavros, hasStation, Tavros station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tavros station Context triple: [Moschato-Tavros, hasStation, Tavros station]
-
A.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
D.
Quinta Normal station
Quinta Normal station is an underground stop on Santiago's Metro network that serves the Quinta Normal neighborhood and provides access to the nearby Quinta Normal Park and cultural institutions.
-
E.
Prujakan Station
Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
- 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: Tavros station Triple: [Moschato-Tavros, hasStation, Tavros station]
Generated description
Tavros station is an Athens Metro railway station serving the Tavros district in the Athens metropolitan area of Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tavros station Target entity description: Tavros station is an Athens Metro railway station serving the Tavros district in the Athens metropolitan area of Greece.
-
A.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
D.
Quinta Normal station
Quinta Normal station is an underground stop on Santiago's Metro network that serves the Quinta Normal neighborhood and provides access to the nearby Quinta Normal Park and cultural institutions.
-
E.
Prujakan Station
Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a9628cc819095d15fd90023e57d |
completed | May 1, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69f48fc3baac8190af87b55164f00b26 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495ab52788190a886f7014267f8e2 |
completed | May 1, 2026, 11:59 a.m. |
Created at: April 8, 2026, 9:46 p.m.