Triple
T24990611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Élan Chalon |
E625436
|
entity |
| Predicate | countryLeagueHierarchy |
P10472
|
FINISHED |
| Object | top-tier French professional basketball |
—
|
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: top-tier French professional basketball | Statement: [Élan Chalon, countryLeagueHierarchy, top-tier French professional basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryLeagueHierarchy Context triple: [Élan Chalon, countryLeagueHierarchy, top-tier French professional basketball]
-
A.
countryLeagueSystem
Indicates that a particular league system operates within, or is associated with, a specific country.
-
B.
countryLeagueScope
Indicates that a league’s scope or coverage is defined at the level of a specific country.
-
C.
countryLeagueRepresents
Indicates that a particular league serves as the official representative or embodiment of a country in a given sport or competitive context.
-
D.
countryLeagueOfClub
Indicates that a given country is the national association or league system in which a particular sports club competes.
-
E.
leagueType
chosen
Indicates the classification or category of a league within a broader organizational or competitive structure.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 6:03 a.m.