Triple
T22743397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalan sheepdog |
E562477
|
entity |
| Predicate | commonCoatPattern |
P112216
|
FINISHED |
| Object | brindle |
—
|
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: brindle | Statement: [Catalan sheepdog, commonCoatPattern, brindle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonCoatPattern Context triple: [Catalan sheepdog, commonCoatPattern, brindle]
-
A.
distinguishingCoatFeature
Indicates a characteristic of an entity’s coat (such as pattern, color, or marking) that serves to distinguish it from others.
-
B.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
C.
typicalCoatColor
Indicates the usual or most common coat color associated with an entity, such as an animal or breed.
-
D.
coatMarkings
chosen
Indicates how an entity’s coat is patterned or marked, such as stripes, spots, or other distinctive visual markings.
-
E.
usesTricolorPattern
Indicates that an entity employs a three-color pattern as a defining or characteristic design element.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17974c3208190ae1d6b05639cc942 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:23 p.m.