Triple
T16314689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice metropolitan area |
E396143
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Saint-Jeannet |
E785570
|
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: Saint-Jeannet | Statement: [Nice metropolitan area, contains, Saint-Jeannet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Jeannet Context triple: [Nice metropolitan area, contains, Saint-Jeannet]
-
A.
Saint-Jeannet
chosen
Saint-Jeannet is a picturesque hillside commune in southeastern France’s Alpes-Maritimes department, known for its medieval village and panoramic views over the French Riviera.
-
B.
Saint-Jean-du-Sud
Saint-Jean-du-Sud is a coastal commune in southwestern Haiti known for its beaches, fishing activities, and rural Caribbean landscape.
-
C.
Saint-Jean-de-la-Neuville
Saint-Jean-de-la-Neuville is a small commune in the Seine-Maritime department of Normandy in northern France, situated within the wider Le Havre metropolitan area.
-
D.
Saint-Jean-d'Heurs
Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
-
E.
Saint-Jean-du-Bruel
Saint-Jean-du-Bruel is a small commune in southern France known for its picturesque setting in the Dourbie valley and traditional rural character.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa88e8c8190b0423b60389896dc |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.