Triple
T27545425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Premier Leagues (national framework) |
E695346
|
entity |
| Predicate | competitionBrand |
P168599
|
FINISHED |
| Object | National Premier Leagues |
—
|
NE NERFINISHED |
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: National Premier Leagues | Statement: [National Premier Leagues (national framework), competitionBrand, National Premier Leagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionBrand Context triple: [National Premier Leagues (national framework), competitionBrand, National Premier Leagues]
-
A.
sportsBrand
Indicates that one entity is a sports-related brand or label associated with the other entity.
-
B.
usesCompetitionBrand
Indicates that one entity makes use of a product, service, or brand that belongs to a competing company or organization.
-
C.
competitiveBrandName
Indicates that one brand name is in a competitive relationship with another brand name in the same market or product space.
-
D.
competitionLogo
Indicates that one entity serves as the official logo or emblem representing a particular competition.
-
E.
competedInBrand
Indicates that an entity took part in a competition, event, or contest that was organized, sponsored, or associated with a particular brand.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 1:32 p.m.