Triple
T15456175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Bleus |
E371773
|
entity |
| Predicate | associatedCompetitionFormat |
P2673
|
FINISHED |
| Object | annual northern hemisphere championship |
—
|
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: annual northern hemisphere championship | Statement: [Les Bleus, associatedCompetitionFormat, annual northern hemisphere championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompetitionFormat Context triple: [Les Bleus, associatedCompetitionFormat, annual northern hemisphere championship]
-
A.
affectedCompetitionFormat
Indicates that one entity caused a change or influence on the structure, rules, or format of a competition.
-
B.
competitionFormat
chosen
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
C.
associatedCompetitionType
Indicates that one entity is linked to or involved with a particular type or category of competition.
-
D.
appliesToCompetitionFormat
Indicates that something is relevant or specifically designed for a particular competition format.
-
E.
replacedCompetitionFormat
Indicates that one competition format was substituted for and took the place of another competition format.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f146a2c8190882741af3ec15268 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:31 a.m.