Triple
T5006445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA scoring champion |
E112504
|
entity |
| Predicate | teamSportContext |
P48352
|
FINISHED |
| Object | NBA regular season play |
—
|
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 regular season play | Statement: [NBA scoring champion, teamSportContext, NBA regular season play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamSportContext Context triple: [NBA scoring champion, teamSportContext, NBA regular season play]
-
A.
sportsTenant
Indicates that one entity occupies or uses a sports facility or venue as a tenant under some form of agreement or arrangement.
-
B.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
C.
sportsTeamLevel
Indicates the competitive tier or division in which a sports team participates within an organized league or system.
-
D.
sportOfReferencedTeam
chosen
Indicates that the subject is the sport played by, or associated with, the referenced team.
-
E.
sportsAllegiance
Indicates a supportive or loyal association an entity has with a particular sports team, organization, or side.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.