Triple
T22865691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaumont, France |
E567046
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Gare de Chaumont |
—
|
NE NERFINISHED |
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: Gare de Chaumont | Statement: [Chaumont, France, hasRailwayStation, Gare de Chaumont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare de Chaumont Context triple: [Chaumont, France, hasRailwayStation, Gare de Chaumont]
-
A.
Gare de Chaumont
chosen
Gare de Chaumont is the main railway station serving the town of Chaumont in northeastern France, providing regional and intercity train connections.
-
B.
Gare de Montbard
Gare de Montbard is a French railway station in the town of Montbard that serves regional and high-speed TGV trains on major routes between Paris and eastern France.
-
C.
Gare de Paray-le-Monial
Gare de Paray-le-Monial is the main railway station serving the town of Paray-le-Monial in the Saône-et-Loire department of eastern France.
-
D.
Gare de Clamecy
Gare de Clamecy is the main railway station serving the town of Clamecy in the Nièvre department of central France, providing regional train connections.
-
E.
Gare de Sens
Gare de Sens is the main railway station serving the town of Sens in north-central France, providing regional and intercity train connections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.