Triple
T16314688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice metropolitan area |
E396143
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vence |
E42953
|
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: Vence | Statement: [Nice metropolitan area, contains, Vence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vence Context triple: [Nice metropolitan area, contains, Vence]
-
A.
Vence
chosen
Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
-
B.
Vinces
Vinces is a small town and canton seat in Ecuador’s Los Ríos Province, known for its agricultural surroundings and riverside setting.
-
C.
Vini Vici
Vini Vici is an Israeli psytrance duo known for their high-energy festival anthems and collaborations with major electronic artists.
-
D.
Victoriei
Victoriei is a major Bucharest Metro interchange station serving as an important transit hub in Romania’s capital city.
-
E.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
- 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.