Triple
T15472760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrier |
E376704
|
entity |
| Predicate | sourceLocation |
P40
|
FINISHED |
| Object | Vergèze |
E394356
|
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: Vergèze | Statement: [Perrier, sourceLocation, Vergèze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vergèze Context triple: [Perrier, sourceLocation, Vergèze]
-
A.
Viane
Viane is a village in the Belgian municipality of Geraardsbergen, located in the province of East Flanders.
-
B.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
C.
La Bresse
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
D.
Vidourle
chosen
Vidourle is a river in southern France that flows through the Gard department before emptying into the Mediterranean Sea.
-
E.
Veyrier
Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d075e64819097061ef4c205577e |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.