Triple
T11979616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Most Valuable Player Award |
E285122
|
entity |
| Predicate | typeOfStatisticalConsiderations |
P39440
|
FINISHED |
| Object | goals |
—
|
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: goals | Statement: [MLS Most Valuable Player Award, typeOfStatisticalConsiderations, goals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStatisticalConsiderations Context triple: [MLS Most Valuable Player Award, typeOfStatisticalConsiderations, goals]
-
A.
statisticalType
Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
-
B.
statisticsConsidered
chosen
Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
-
C.
statisticsType
Indicates the specific kind or category of statistical measure or analysis associated with an entity or dataset.
-
D.
statisticalPurpose
Indicates that something is used for collecting, analyzing, or presenting data for statistical analysis or reporting purposes.
-
E.
statisticalImpact
Indicates that one entity has a measurable effect on the statistical properties, outcomes, or metrics associated with 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.