Triple
T49826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basketball Association of America |
E979
|
entity |
| Predicate | championshipTrophy |
P735
|
FINISHED |
| Object | BAA championship |
—
|
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: BAA championship | Statement: [Basketball Association of America, championshipTrophy, BAA championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipTrophy Context triple: [Basketball Association of America, championshipTrophy, BAA championship]
-
A.
prizeType
chosen
Indicates the specific category or kind of prize associated with an entity or event.
-
B.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
C.
presidentsTrophies
Indicates that the subject has been awarded one or more Presidents' Trophies.
-
D.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
-
E.
WorldSeriesChampion
Indicates that a team or individual has won the championship title in a given season of the World Series.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b6c9eb88190b2fe85e427f4177a |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac0fb088190b7a5e87817e8e747 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.