Triple
T9305615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lark bunting |
E223876
|
entity |
| Predicate | maleBreedingPlumage |
P82321
|
FINISHED |
| Object | black body with white wing patches |
—
|
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: black body with white wing patches | Statement: [Lark bunting, maleBreedingPlumage, black body with white wing patches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleBreedingPlumage Context triple: [Lark bunting, maleBreedingPlumage, black body with white wing patches]
-
A.
maleBreedingPlumageFeature
chosen
Indicates that the relationship involves a physical or visual characteristic specifically associated with a male’s breeding-season plumage.
-
B.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
C.
nonBreedingPlumageColor
Indicates the coloration an organism displays in its non-breeding (non-reproductive) plumage phase.
-
D.
femalePlumageFeature
Indicates that the specified plumage feature is characteristic of the female individual in a species.
-
E.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd1da7c1e08190af19169f5d806cde |
completed | April 1, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.