Triple
T2791648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nîmes Olympique |
E61942
|
entity |
| Predicate | countryLeagueAssociation |
P14340
|
FINISHED |
| Object | French football |
—
|
LITERAL 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: French football | Statement: [Nîmes Olympique, countryLeagueAssociation, French football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryLeagueAssociation Context triple: [Nîmes Olympique, countryLeagueAssociation, French football]
-
A.
leagueAssociations
Indicates a relationship where an entity is formally connected to, participates in, or is governed by a particular league or set of leagues.
-
B.
affiliateLeague
Indicates that one sports organization or team is formally associated with and operates under the umbrella or partnership of a particular league.
-
C.
countryLeagueSystem
chosen
Indicates that a particular league system operates within, or is associated with, a specific country.
-
D.
league2
Indicates that an entity participates in, is a member of, or is otherwise affiliated with a specific sports league or competitive organization.
-
E.
stateLeague
Indicates that a sports team or club competes in, or is affiliated with, a particular state-level league or competition.
- F. None of above.
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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.