Triple
T35759452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Blackface sheep |
E1033531
|
entity |
| Predicate | hornPresenceInFemales |
P20069
|
FINISHED |
| Object | horned ewes |
—
|
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: horned ewes | Statement: [Scottish Blackface sheep, hornPresenceInFemales, horned ewes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hornPresenceInFemales Context triple: [Scottish Blackface sheep, hornPresenceInFemales, horned ewes]
-
A.
femaleHornDescription
Indicates that the description specifically pertains to the horn of a female individual of the species.
-
B.
hasProboscisInMales
Indicates that the males of a species possess a proboscis (an elongated feeding or sensory organ).
-
C.
hasHorns
chosen
Indicates that an entity possesses horns as a physical feature.
-
D.
hornCount
Indicates the number of horns possessed by an entity.
-
E.
possibleFunctionOfHorns
Indicates that the horns of an organism may serve a particular function or role, such as defense, display, or other potential uses.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.