Triple
T7463652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trotting Triple Crown |
E176315
|
entity |
| Predicate | horseBreed |
P77266
|
FINISHED |
| Object | Standardbred |
—
|
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: Standardbred | Statement: [Trotting Triple Crown, horseBreed, Standardbred]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: horseBreed Context triple: [Trotting Triple Crown, horseBreed, Standardbred]
-
A.
featuresHorse
Indicates that something includes, presents, or prominently involves a horse as a central element or subject.
-
B.
horseColor
Indicates the relationship that specifies what color a given horse is.
-
C.
thoroughbredFamily
Indicates that one entity belongs to, or is classified within, a specific Thoroughbred horse family lineage associated with the other entity.
-
D.
breed
Indicates that an organism reproduces to generate offspring, typically with another organism of the same species.
-
E.
breedsIn
Indicates that an organism reproduces or carries out its breeding activities within a specified environment, habitat, or location.
- F. None of above. chosen
Provenance (4 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d9d25c819087efc772b5b127fa |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f386daac81908ded91b397b44148 |
completed | March 27, 2026, 9:15 p.m. |
Created at: March 27, 2026, 3:39 p.m.