Triple
T3018767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NISA |
E82402
|
entity |
| Predicate | organizesCompetitionType |
P2440
|
FINISHED |
| Object | professional league competition |
—
|
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: professional league competition | Statement: [NISA, organizesCompetitionType, professional league competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizesCompetitionType Context triple: [NISA, organizesCompetitionType, professional league competition]
-
A.
organizedCompetitionIn
Indicates that an entity arranged, managed, or hosted a competition that took place in a specified location.
-
B.
competitionOrganized
Indicates that an entity is responsible for arranging, managing, or hosting a competition or contest involving other participants.
-
C.
typeOfCompetition
chosen
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
D.
overseesCompetition
Indicates that one entity has responsibility for supervising, managing, or administering a competition involving another entity.
-
E.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a927b608190ba1392498507b237 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.