Triple
T7206086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Vienne |
E148669
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Creuse |
E32501
|
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: Creuse | Statement: [Haute-Vienne, borders, Creuse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creuse Context triple: [Haute-Vienne, borders, Creuse]
-
A.
Creuse
chosen
Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
-
B.
Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
-
C.
Creuse River
The Creuse River is a major river in central France that flows through the historical regions of Berry and Limousin, known for its scenic valleys and picturesque landscapes.
-
D.
Drôme River
The Drôme River is a scenic waterway in southeastern France known for flowing through the Drôme department and the foothills of the Alps before joining the Rhône.
-
E.
Aveyron River
The Aveyron River is a waterway in southern France known for flowing through scenic gorges and historic towns before joining the Tarn River.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94ef5cc81908c33adcedf5c5054 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca6d6a17b4819089eafc70ecc1f786 |
completed | March 30, 2026, 12:32 p.m. |
Created at: March 27, 2026, 2:52 p.m.