Triple
T18688251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand Football Championship |
E456921
|
entity |
| Predicate | usesFranchisesInsteadOfTraditionalClubs |
P132286
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New Zealand Football Championship, usesFranchisesInsteadOfTraditionalClubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFranchisesInsteadOfTraditionalClubs Context triple: [New Zealand Football Championship, usesFranchisesInsteadOfTraditionalClubs, true]
-
A.
hasProfessionalClubs
Indicates that there exists a professional sports or activity club associated with, based in, or belonging to the given entity.
-
B.
ownsMajorFranchiseIn
Indicates that an entity has controlling or primary ownership of a major franchise operating within a specified location or jurisdiction.
-
C.
associatedFranchise
Indicates a relationship where one entity is linked to, or belongs within, a particular franchise or franchise universe.
-
D.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
E.
leagueOfFranchiseOwned
Indicates that a particular league is owned or controlled by a franchise entity.
- F. None of above. chosen
Provenance (4 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2e4c6081908bb958bd00d6bec9 |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:49 a.m.