Triple
T8985298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partridge Wyandotte |
E214646
|
entity |
| Predicate | hasPlumageColorSexualDimorphism |
P1333
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Partridge Wyandotte, hasPlumageColorSexualDimorphism, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlumageColorSexualDimorphism Context triple: [Partridge Wyandotte, hasPlumageColorSexualDimorphism, yes]
-
A.
sexualDimorphism
chosen
Indicates differences in physical characteristics between males and females of a species that are systematically associated with their sex.
-
B.
femalePlumageFeature
Indicates that the specified plumage feature is characteristic of the female individual in a species.
-
C.
maleBreedingPlumageFeature
Indicates that the relationship involves a physical or visual characteristic specifically associated with a male’s breeding-season plumage.
-
D.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
E.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ecc5188190a6fb4d5456893121 |
completed | April 1, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:03 p.m.