Triple
T177851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNT |
E3614
|
entity |
| Predicate | notableSportsRights |
P6992
|
FINISHED |
| Object | NBA games |
—
|
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: NBA games | Statement: [TNT, notableSportsRights, NBA games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSportsRights Context triple: [TNT, notableSportsRights, NBA games]
-
A.
sportsRegionOf
Indicates that a region is the geographic or administrative area associated with a particular sports entity or activity.
-
B.
sponsorSport
Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
-
C.
sportsAssociation
Indicates a formal relationship in which an entity is affiliated with, governed by, or participates under the auspices of a specific sports organization or governing body.
-
D.
stateSport
Indicates that a particular sport is officially associated with, designated by, or representative of a given state.
-
E.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258fe7bb08190a56f4a54cadd2fef |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2566b53d481909c0ed40dd3719e8c |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2582b7f648190b0ef676b8bdc1c65 |
completed | Feb. 28, 2026, 2:51 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.