Triple
T9488801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevers railway station |
E228828
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Cosne-sur-Loire |
E167653
|
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: Cosne-sur-Loire | Statement: [Nevers railway station, connectsTo, Cosne-sur-Loire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosne-sur-Loire Context triple: [Nevers railway station, connectsTo, Cosne-sur-Loire]
-
A.
Cosne-Cours-sur-Loire
chosen
Cosne-Cours-sur-Loire is a commune in central France situated on the Loire River, known historically as a local commercial and wine-producing center.
-
B.
Roanne
Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
-
C.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
D.
Monistrol-sur-Loire
Monistrol-sur-Loire is a commune in south-central France situated along the Loire River in the Haute-Loire department of the Auvergne-Rhône-Alpes region.
-
E.
Joué-lès-Tours
Joué-lès-Tours is a suburban commune in central France’s Indre-et-Loire department, forming part of the urban area of Tours.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c5a05c8190b97d34f010e60ca1 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d18fd908190b562fa0a8dad7c63 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.