Triple
T1220437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Athletic Conference |
E26208
|
entity |
| Predicate | hasSportCategory |
P1907
|
FINISHED |
| Object | gridiron 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: gridiron football | Statement: [United Athletic Conference, hasSportCategory, gridiron football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportCategory Context triple: [United Athletic Conference, hasSportCategory, gridiron football]
-
A.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
B.
hasSportsStatus
Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
-
C.
sportCategory
chosen
Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
-
D.
hasEsport
Indicates that an entity is associated with or participates in a specific electronic sports (esports) activity or competition.
-
E.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be1ead088190bf44dc6ab1edf18b |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.