Triple
T38641219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | trapped neutrophil syndrome |
E938598
|
entity |
| Predicate | commonlyAffectsBreed |
P41121
|
FINISHED |
| Object | Border Collie |
—
|
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: Border Collie | Statement: [trapped neutrophil syndrome, commonlyAffectsBreed, Border Collie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyAffectsBreed Context triple: [trapped neutrophil syndrome, commonlyAffectsBreed, Border Collie]
-
A.
hasTypicalBreed
Indicates that an entity (such as an animal or pet) is associated with a breed that is considered standard or characteristic for its kind.
-
B.
associatedAnimalBreed
chosen
Indicates that there is a relationship linking an entity to a specific breed of animal with which it is connected or identified.
-
C.
influenceOnBreed
Indicates that one entity has an effect on the characteristics, development, or traits of a particular breed.
-
D.
sameBreedAs
Indicates that two entities belong to the same breed or variety within a species.
-
E.
isPopularBackyardBreed
Indicates that the breed is commonly kept and favored in backyard settings.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.