Triple
T102579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Basketball Partners L.L.C. |
E2070
|
entity |
| Predicate | sportOfFranchiseControlled |
P7578
|
FINISHED |
| Object | basketball |
—
|
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: basketball | Statement: [Boston Basketball Partners L.L.C., sportOfFranchiseControlled, basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportOfFranchiseControlled Context triple: [Boston Basketball Partners L.L.C., sportOfFranchiseControlled, basketball]
-
A.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
B.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
C.
acquiredSportsTeam
Indicates that one entity has purchased and taken ownership of a sports team from another party.
-
D.
stateSport
Indicates that a particular sport is officially associated with, designated by, or representative of a given state.
-
E.
hasMajorSportsTeam
Indicates that a location is home to at least one prominent, officially recognized sports team, typically in a major professional or collegiate league.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.