Triple
T4626651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice |
E101112
|
entity |
| Predicate | sportsTeam |
P330
|
FINISHED |
| Object | OGC Nice |
E313918
|
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: OGC Nice | Statement: [Nice, sportsTeam, OGC Nice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OGC Nice Context triple: [Nice, sportsTeam, OGC Nice]
-
A.
OGC Nice
chosen
OGC Nice is a professional French football club based in Nice that competes in Ligue 1 and is known for its long history and passionate Mediterranean fanbase.
-
B.
Corine
Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
-
C.
Jongny
Jongny is a small municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the Riviera-Pays-d’Enhaut district.
-
D.
Sophia Antipolis
Sophia Antipolis is a major technology and research park in southeastern France, known as a European hub for telecommunications, information technology, and innovation.
-
E.
City of Nice
The City of Nice is a major coastal city on the French Riviera, renowned for its Mediterranean climate, historic old town, and rich artistic and cultural heritage.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaab30508190881828adab92ba22 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:13 p.m.