Triple
T6864790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Greyhound Association |
E158369
|
entity |
| Predicate | typeOfDogCovered |
P74190
|
FINISHED |
| Object | racing greyhound |
—
|
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: racing greyhound | Statement: [National Greyhound Association, typeOfDogCovered, racing greyhound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDogCovered Context triple: [National Greyhound Association, typeOfDogCovered, racing greyhound]
-
A.
hasBarkColor
Indicates the color or colors of an entity’s bark.
-
B.
canineSize
Indicates the relative physical size or stature of a canine in comparison to other canines or a defined standard.
-
C.
hasFurType
Indicates that an entity possesses a specific kind or texture of fur.
-
D.
typeOfOrganCovered
Indicates the specific organ or body part that is protected or covered by something (such as a device, garment, or material).
-
E.
typicalCoatColor
Indicates the usual or most common coat color associated with an entity, such as an animal or breed.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.