Triple
T36390862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier Handicap |
E896322
|
entity |
| Predicate | weightAssignmentBasis |
P76535
|
FINISHED |
| Object | official handicap ratings |
—
|
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: official handicap ratings | Statement: [Premier Handicap, weightAssignmentBasis, official handicap ratings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightAssignmentBasis Context triple: [Premier Handicap, weightAssignmentBasis, official handicap ratings]
-
A.
weightsBy
Indicates that one entity assigns or determines the relative importance or influence of another entity, typically by associating it with a weight or weighting scheme.
-
B.
assignmentBasis
chosen
Indicates the criterion or rationale on which an assignment or allocation is determined.
-
C.
weightingMethod
Indicates how relative importance or influence is assigned to elements within a set, such as criteria, features, or data points, in a calculation or decision process.
-
D.
weightFunction
Indicates a mapping that assigns a numerical weight or importance value to elements, pairs, or structures within a given domain.
-
E.
weightEnumeratorRelatedTo
Indicates a relationship where one entity is a weight enumerator that is mathematically or conceptually associated with another entity (such as a code, structure, or system).
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.