Triple
T15181440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loup |
E362753
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Villeneuve-Loubet |
E445628
|
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: Villeneuve-Loubet | Statement: [Loup, flowsThrough, Villeneuve-Loubet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeneuve-Loubet Context triple: [Loup, flowsThrough, Villeneuve-Loubet]
-
A.
Villeneuve-Loubet
chosen
Villeneuve-Loubet is a coastal commune in southeastern France known for its beaches, marina, and proximity to Nice on the French Riviera.
-
B.
Mouans-Sartoux
Mouans-Sartoux is a commune in southeastern France known for its cultural events and location between Cannes and Grasse on the French Riviera.
-
C.
Brunoy
Brunoy is a suburban commune in the southeastern outskirts of Paris, France, known for its residential character and location along the Yerres River.
-
D.
Saint-Raphaël
Saint-Raphaël is a coastal resort town on the French Riviera known for its Mediterranean beaches, yacht marina, and scenic Esterel Massif backdrop.
-
E.
Saint-Raphaël
Saint-Raphaël is a commune in northern Haiti known for its agricultural activities and historical significance dating back to the colonial era.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff45406c8c8190beb87d4bb5c50355 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:09 a.m.