Triple
T49837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basketball Association of America |
E979
|
entity |
| Predicate | leagueFormat |
P2147
|
FINISHED |
| Object | regular season and playoffs |
—
|
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: regular season and playoffs | Statement: [Basketball Association of America, leagueFormat, regular season and playoffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueFormat Context triple: [Basketball Association of America, leagueFormat, regular season and playoffs]
-
A.
league
Indicates that an organization or team participates in, is a member of, or is associated with a particular sports or competitive league.
-
B.
affiliateLeague
Indicates that one sports organization or team is formally associated with and operates under the umbrella or partnership of a particular league.
-
C.
seasonStructure
chosen
Indicates how a season is organized or structured in terms of its component parts, phases, or format.
-
D.
originalLeague
Indicates the league or competition in which an entity (such as a team or club) initially participated or was first a member.
-
E.
leaguePlayedIn
Indicates that a sports team or player has participated in competitions within a particular league.
- 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.