Triple
T18882677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare d'Issoire |
E461870
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Gare d'Issoire |
—
|
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 d'Issoire | Statement: [Gare d'Issoire, hasName, Gare d'Issoire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare d'Issoire Context triple: [Gare d'Issoire, hasName, Gare d'Issoire]
-
A.
Gare d'Issoire
chosen
Gare d'Issoire is the main railway station serving the town of Issoire in the Puy-de-Dôme department of central France, providing regional train connections.
-
B.
Gare de Tulle
Gare de Tulle is the main railway station serving the town of Tulle in the Corrèze department of south-central France, providing regional train connections.
-
C.
Gare d’Issoudun
Gare d’Issoudun is the main railway station serving the town of Issoudun in the Indre department of central France, providing regional train connections.
-
D.
Gare de Montbrison
Gare de Montbrison is the main railway station serving the town of Montbrison in central France, providing regional train connections within the Loire department.
-
E.
Gare d'Amboise
Gare d'Amboise is the main railway station serving the town of Amboise in central France, providing regional train connections within the Loire Valley.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d3286081908c1ae2cb413b49aa |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.