Triple
T2032145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capra hircus |
E44540
|
entity |
| Predicate | coatType |
P18325
|
FINISHED |
| Object | hair or wool-like fiber |
—
|
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: hair or wool-like fiber | Statement: [Capra hircus, coatType, hair or wool-like fiber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatType Context triple: [Capra hircus, coatType, hair or wool-like fiber]
-
A.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
B.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
-
C.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
D.
bodyCovering
chosen
Indicates the type of external covering or surface (such as skin, fur, feathers, or scales) that characterizes an entity’s body.
-
E.
bandCoverage
Indicates the range or extent of frequencies, wavelengths, or channels that a particular band encompasses or provides.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9313134819088133fb69b8f606f |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.