Triple
T3795166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gard |
E89752
|
entity |
| Predicate | subprefecture |
P9697
|
FINISHED |
| Object | Le Vigan |
E275524
|
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: Le Vigan | Statement: [Gard, subprefecture, Le Vigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Vigan Context triple: [Gard, subprefecture, Le Vigan]
-
A.
Le Vigan
chosen
Le Vigan is a historic market town in southern France that serves as one of the main gateways to the Cévennes mountain region.
-
B.
Vavin
Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
-
C.
Crevel
Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
-
D.
Juliénas
Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
-
E.
Viré
Viré is a renowned wine-producing village in France’s Mâconnais region, best known for its high-quality white Burgundy wines made primarily from Chardonnay.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee79db2e88190b3aa2b8e8d885e19 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05c0f908190b5638e75b06dab4d |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:15 p.m.