Triple
T36935647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Professional Soccer League (indoor) |
E913607
|
entity |
| Predicate | usedMultiPointScoring |
P92068
|
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: [National Professional Soccer League (indoor), usedMultiPointScoring, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMultiPointScoring Context triple: [National Professional Soccer League (indoor), usedMultiPointScoring, true]
-
A.
usesCompositeScore
Indicates that an entity bases its evaluation, decision, or outcome on a combined score derived from multiple underlying metrics or factors.
-
B.
alternativeScoring
chosen
Indicates that there exists an additional or non-standard method of scoring or evaluation associated with the primary scoring system or context.
-
C.
usesScoreBy
Indicates that one entity evaluates, ranks, or measures another entity according to a specified scoring method or metric.
-
D.
scoringType
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
-
E.
usesPointsSystem
Indicates that an entity operates or functions based on a structured points-based system for evaluation, rewards, or progression.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdf5cccc81909f55ca78c6591790 |
completed | May 5, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.