Triple
T38379508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | markhor |
E893715
|
entity |
| Predicate | sexualDimorphismInHorns |
P1333
|
FINISHED |
| Object | males have much larger horns than females |
—
|
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: males have much larger horns than females | Statement: [markhor, sexualDimorphismInHorns, males have much larger horns than females]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sexualDimorphismInHorns Context triple: [markhor, sexualDimorphismInHorns, males have much larger horns than females]
-
A.
sexualDimorphism
chosen
Indicates differences in physical characteristics between males and females of a species that are systematically associated with their sex.
-
B.
hasHorns
Indicates that an entity possesses horns as a physical feature.
-
C.
hornsDedicatedTo
Indicates that certain horns are formally devoted or consecrated to a particular deity, person, or purpose.
-
D.
plumageDimorphism
Indicates that there is a difference in plumage characteristics between two groups (typically sexes or age classes) within a species.
-
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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.