Triple
T17118867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konik horse |
E415410
|
entity |
| Predicate | hasCoatPattern |
P78897
|
FINISHED |
| Object | primitive markings |
—
|
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: primitive markings | Statement: [Konik horse, hasCoatPattern, primitive markings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoatPattern Context triple: [Konik horse, hasCoatPattern, primitive markings]
-
A.
usesTricolorPattern
Indicates that an entity employs a three-color pattern as a defining or characteristic design element.
-
B.
hasStripePattern
Indicates that one entity exhibits a stripe-like visual pattern on its surface or body.
-
C.
distinguishingCoatFeature
chosen
Indicates a characteristic of an entity’s coat (such as pattern, color, or marking) that serves to distinguish it from others.
-
D.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
E.
hasGarment
Indicates that one entity possesses, wears, or is associated with a particular garment.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8086a388190a655a044feccab14 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.