Triple
T1997604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antilocapridae |
E43392
|
entity |
| Predicate | maleTrait |
P18326
|
FINISHED |
| Object | larger horns |
—
|
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: larger horns | Statement: [Antilocapridae, maleTrait, larger horns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleTrait Context triple: [Antilocapridae, maleTrait, larger horns]
-
A.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
B.
maleCalled
Indicates that a male individual is referred to or named by a particular name or label.
-
C.
malesOftenHave
chosen
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
-
D.
genderRule
Indicates a rule or constraint that determines how gender-related properties or classifications should be assigned or interpreted in a given context.
-
E.
hasTypicalGenderAssociation
Indicates that one entity is commonly or culturally associated with a particular gender more than with other genders.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.