Triple
T4125948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grotte de Trabuc |
E92723
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Alès |
E103781
|
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: Alès | Statement: [Grotte de Trabuc, nearCity, Alès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alès Context triple: [Grotte de Trabuc, nearCity, Alès]
-
A.
Alès
chosen
Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
-
B.
Vidourle
Vidourle is a river in southern France that flows through the Gard department before emptying into the Mediterranean Sea.
-
C.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0219f0e48190b0a925f09d858d65 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6508f4afc819085389657b7bb4efb |
completed | March 15, 2026, 6:24 a.m. |
Created at: March 9, 2026, 3:41 p.m.