Triple
T26566003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standardbred |
E666384
|
entity |
| Predicate | breedingInfluence |
P117810
|
FINISHED |
| Object | Norfolk Trotter |
—
|
NE NERFINISHED |
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: Norfolk Trotter | Statement: [Standardbred, breedingInfluence, Norfolk Trotter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedingInfluence Context triple: [Standardbred, breedingInfluence, Norfolk Trotter]
-
A.
breedingSignificance
Indicates the importance or impact of an entity in breeding, such as its value, influence, or role in reproductive or genetic improvement processes.
-
B.
breedingTrait
Indicates that an entity possesses a heritable characteristic that is relevant or targeted in a breeding process or program.
-
C.
influenceOnBreed
chosen
Indicates that one entity has an effect on the characteristics, development, or traits of a particular breed.
-
D.
breedingUse
Indicates that one entity is used for breeding or reproductive purposes with respect to another entity.
-
E.
breedingType
Indicates the method or strategy by which organisms reproduce or are bred.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6149f29c88190b4899c61a28828c1 |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:55 a.m.