Triple
T29991781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Highland White Terrier |
E761897
|
entity |
| Predicate | barkTendency |
P168331
|
FINISHED |
| Object | frequent |
—
|
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: frequent | Statement: [West Highland White Terrier, barkTendency, frequent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barkTendency Context triple: [West Highland White Terrier, barkTendency, frequent]
-
A.
barkIs
Indicates that an entity produces the characteristic sound associated with barking.
-
B.
barkProperty
Indicates that an entity possesses a characteristic or quality related to bark (such as texture, color, or pattern).
-
C.
barkUsedFor
Indicates that the bark of something is utilized for a particular purpose or function.
-
D.
barkContains
Indicates that one piece of bark physically includes or encloses another substance, object, or portion of bark within its structure or boundaries.
-
E.
goodWithOtherDogs
Indicates that one entity (typically an animal) behaves well, calmly, or compatibly when interacting with other dogs.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6791b73a081908c15d046673bbc37 |
completed | May 2, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:38 p.m.