Triple
T9682683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aude River |
E234323
|
entity |
| Predicate | emptiesIntoNear |
P408
|
FINISHED |
| Object | Gruissan |
E154148
|
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: Gruissan | Statement: [Aude River, emptiesIntoNear, Gruissan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gruissan Context triple: [Aude River, emptiesIntoNear, Gruissan]
-
A.
Gruissan
chosen
Gruissan is a coastal commune in southern France known for its Mediterranean beaches, salt marshes, and traditional stilted chalets.
-
B.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
C.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
D.
Guillestre
Guillestre is a small commune in southeastern France’s Hautes-Alpes department, known as a gateway to the Queyras Regional Natural Park and the surrounding Alpine valleys.
-
E.
Draguignan
Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccdbcc48190a4a9a70b3f419ac2 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eab6ae348190b1ff4eb10081c5a0 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:16 p.m.