Triple
T12685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California quail |
E255
|
entity |
| Predicate | femalePlumage |
P60
|
FINISHED |
| Object | browner and duller than male |
—
|
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: browner and duller than male | Statement: [California quail, femalePlumage, browner and duller than male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femalePlumage Context triple: [California quail, femalePlumage, browner and duller than male]
-
A.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
B.
hasOfficialStateBird
Indicates that a particular bird species is formally designated as the official state bird of a given state or region.
-
C.
sexOrGender
Indicates that one entity has a specified biological sex or socially constructed gender identity.
-
D.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a243abb2ec8190937365e5ecec52ad |
completed | Feb. 28, 2026, 1:23 a.m. |
| PD | Predicate disambiguation | batch_69a23fe9470c8190918a6ca1df168646 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.