Triple
T2993282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angora cats |
E81005
|
entity |
| Predicate | earDescription |
P44571
|
FINISHED |
| Object | large ears |
—
|
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: large ears | Statement: [Angora cats, earDescription, large ears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earDescription Context triple: [Angora cats, earDescription, large ears]
-
A.
hearingType
Indicates the type or category of a hearing event or proceeding that takes place.
-
B.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
C.
accessory
Indicates that one entity serves as a supplementary or supporting item to another, often enhancing its function, use, or appearance.
-
D.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
E.
legCharacteristic
Indicates a characteristic, property, or attribute that specifically pertains to the legs of an entity.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.