Triple
T28253679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahiwal |
E712383
|
entity |
| Predicate | nearbyFamousBreed |
P184846
|
FINISHED |
| Object | Sahiwal cattle |
—
|
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: Sahiwal cattle | Statement: [Sahiwal, nearbyFamousBreed, Sahiwal cattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyFamousBreed Context triple: [Sahiwal, nearbyFamousBreed, Sahiwal cattle]
-
A.
notableDog
Indicates that the subject is a dog recognized for its significance, fame, or special distinction.
-
B.
associatedAnimalBreed
Indicates that there is a relationship linking an entity to a specific breed of animal with which it is connected or identified.
-
C.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
D.
sameBreedAs
Indicates that two entities belong to the same breed or variety within a species.
-
E.
breedSocietyEstablishedYear
Indicates the calendar year in which a breed society or association was formally founded or established.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 27, 2026, 11:06 p.m.