Triple
T27571752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Scoring Champion Award |
E696053
|
entity |
| Predicate | usedScoringMetric |
P48244
|
FINISHED |
| Object | points instead of goals only |
—
|
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: points instead of goals only | Statement: [MLS Scoring Champion Award, usedScoringMetric, points instead of goals only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedScoringMetric Context triple: [MLS Scoring Champion Award, usedScoringMetric, points instead of goals only]
-
A.
scoreUsedFor
Indicates that a particular score or rating is used for a specific purpose, decision, or downstream process.
-
B.
selectionMetric
Indicates the criterion or measure used to evaluate and choose among alternative options or candidates.
-
C.
usesCompositeScore
Indicates that an entity bases its evaluation, decision, or outcome on a combined score derived from multiple underlying metrics or factors.
-
D.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
E.
scoringType
chosen
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 1:43 p.m.