Triple
T13590489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agen |
E324679
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Agen station
Agen station is the main railway station serving the city of Agen in southwestern France, providing regional and long-distance train connections.
|
E1048728
|
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: Agen station | Statement: [Agen, hasRailwayStation, Agen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agen station Context triple: [Agen, hasRailwayStation, Agen station]
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Hankar station
Hankar station is a Brussels Metro station on the city's Line 5, serving the Auderghem municipality in southeastern Brussels.
-
C.
Agrícola Oriental station
Agrícola Oriental station is a Mexico City Metro station serving the Agrícola Oriental neighborhood in the eastern part of the city.
-
D.
Batutulis Station
Batutulis Station is a small railway station in Bogor, West Java, Indonesia, serving local commuter and regional train services on the line south of Bogor.
-
E.
Gaiemmae Station
Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
- 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: Agen station Triple: [Agen, hasRailwayStation, Agen station]
Generated description
Agen station is the main railway station serving the city of Agen in southwestern France, providing regional and long-distance train connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agen station Target entity description: Agen station is the main railway station serving the city of Agen in southwestern France, providing regional and long-distance train connections.
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Hankar station
Hankar station is a Brussels Metro station on the city's Line 5, serving the Auderghem municipality in southeastern Brussels.
-
C.
Agrícola Oriental station
Agrícola Oriental station is a Mexico City Metro station serving the Agrícola Oriental neighborhood in the eastern part of the city.
-
D.
Batutulis Station
Batutulis Station is a small railway station in Bogor, West Java, Indonesia, serving local commuter and regional train services on the line south of Bogor.
-
E.
Gaiemmae Station
Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77642e4b881909915c686a0d6c6fa |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f778f01700819099c3e9cbc84f29e4 |
completed | May 3, 2026, 4:33 p.m. |
Created at: April 9, 2026, 9:49 p.m.