Triple
T36390869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier Handicap |
E896322
|
entity |
| Predicate | weightVariationReason |
P34734
|
FINISHED |
| Object | differences in perceived ability of horses |
—
|
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: differences in perceived ability of horses | Statement: [Premier Handicap, weightVariationReason, differences in perceived ability of horses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightVariationReason Context triple: [Premier Handicap, weightVariationReason, differences in perceived ability of horses]
-
A.
weightCondition
Indicates that a specified weight-related requirement or constraint holds between entities or values.
-
B.
weightIssue
Indicates that there is a problem, concern, or abnormal condition related to the weight of an entity.
-
C.
weightStandardInfluencedBy
chosen
Indicates that a weight standard is affected, shaped, or determined by another factor, standard, or influence.
-
D.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
E.
intendedWeight
Indicates the target or desired weight that an entity is meant or planned to have, rather than its current actual weight.
- 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_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.