Triple
T4430965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nièvre |
E95326
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | La Charité-sur-Loire |
E187280
|
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: La Charité-sur-Loire | Statement: [Nièvre, contains, La Charité-sur-Loire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Charité-sur-Loire Context triple: [Nièvre, contains, La Charité-sur-Loire]
-
A.
La Charité-sur-Loire
chosen
La Charité-sur-Loire is a historic town in central France on the banks of the Loire River, renowned for its medieval architecture and UNESCO-listed Cluniac priory.
-
B.
Sully-sur-Loire
Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
-
C.
Chalonnes-sur-Loire
Chalonnes-sur-Loire is a commune in western France known for its location on the Loire River and its inclusion in the UNESCO-listed Loire Valley cultural landscape.
-
D.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
E.
Chapeauroux
Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627f7a8c881908a04b64d43c7b908 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:31 p.m.