Triple
T22679116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menu Pineau |
E560430
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Central Loire |
—
|
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: Central Loire | Statement: [Menu Pineau, region, Central Loire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Loire Context triple: [Menu Pineau, region, Central Loire]
-
A.
Loire Valley
The Loire Valley is a picturesque region in central France renowned for its historic châteaux, vineyards, and scenic stretches of the Loire River.
-
B.
Loir River valley
The Loir River valley is a scenic region in central France known for its gentle landscapes, vineyards, historic villages, and lesser-known châteaux.
-
C.
Coteaux du Layon
Coteaux du Layon is a renowned French wine appellation in the Loire Valley, celebrated for its sweet white wines made primarily from Chenin Blanc grapes.
-
D.
Centre-Val de Loire
chosen
Centre-Val de Loire is a central French region known for its Loire Valley châteaux, historic towns, and extensive agricultural landscapes.
-
E.
Bordeaux Saint-Jean
Bordeaux Saint-Jean is the main railway station in Bordeaux, France, serving as a key high-speed TGV hub connecting the city with major destinations across the country and beyond.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785e4e7481909f1ebd6d8dbd6585 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.