Triple
T11312553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezannes TGV |
E267875
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Champagne-Ardenne TGV station |
E53921
|
NE FINISHED |
How this triple was built (2 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: Champagne-Ardenne TGV station | Statement: [Bezannes TGV, connectedTo, Champagne-Ardenne TGV station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champagne-Ardenne TGV station Context triple: [Bezannes TGV, connectedTo, Champagne-Ardenne TGV station]
-
A.
Reims-Maison-Blanche station
Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
-
B.
Troyes station
Troyes station is the main railway station serving the city of Troyes in northeastern France, providing regional and intercity train connections.
-
C.
Épernay station
Épernay station is a French railway station in the Champagne-producing town of Épernay that serves as a regional hub for passenger rail services.
-
D.
Reims station
chosen
Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
-
E.
Le Creusot TGV station
Le Creusot TGV station is a high-speed railway station in eastern France served by TGV trains on the Paris–Lyon line, providing rapid connections between the Burgundy region and major French cities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c1b7dc81908d8cc768c47390d3 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525c35538819085d76f7cdf362316 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.