Triple
T29991783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Highland White Terrier |
E761897
|
entity |
| Predicate | recognizedStandard |
P310
|
FINISHED |
| Object | KC breed standard |
—
|
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: KC breed standard | Statement: [West Highland White Terrier, recognizedStandard, KC breed standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedStandard Context triple: [West Highland White Terrier, recognizedStandard, KC breed standard]
-
A.
recognizedAsSeparateStandardBy
Indicates that something is acknowledged or treated as an independent, distinct standard by a particular authority or group.
-
B.
recognizedAs
chosen
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
-
C.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
D.
recognizedIn
Indicates that an entity is formally acknowledged, honored, or given recognition within a particular context, setting, or domain.
-
E.
recognizedSee
Indicates that one entity sees another and consciously recognizes or identifies what is being seen.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 6:38 p.m.