Triple
T24091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Knicks |
E476
|
entity |
| Predicate | originalBAATeam |
P1747
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New York Knicks, originalBAATeam, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBAATeam Context triple: [New York Knicks, originalBAATeam, true]
-
A.
originalLeague
Indicates the league or competition in which an entity (such as a team or club) initially participated or was first a member.
-
B.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
C.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
D.
expansionTeamIn
Indicates that a sports team entered a league or competition as an expansion team in a specified season, year, or context.
-
E.
originLeague
Indicates the sports league or competition from which an entity (such as a team, player, or event) originally comes or is associated.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246e94ca881908f7a7d2c0b293033 |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a246560af88190961ea00b35cf9388 |
completed | Feb. 28, 2026, 1:35 a.m. |
| PDg | Predicate description generation | batch_69a246e7fac481909b0c500d4500650e |
completed | Feb. 28, 2026, 1:37 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.