Triple
T12683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California quail |
E255
|
entity |
| Predicate | malePlumage |
P1334
|
FINISHED |
| Object | black face with white border |
—
|
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 face with white border | Statement: [California quail, malePlumage, black face with white border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: malePlumage Context triple: [California quail, malePlumage, black face with white border]
-
A.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
B.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
C.
hasOfficialStateBird
Indicates that a particular bird species is formally designated as the official state bird of a given state or region.
-
D.
sexOrGender
Indicates that one entity has a specified biological sex or socially constructed gender identity.
-
E.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a243aa85848190813154e8a6495200 |
completed | Feb. 28, 2026, 1:23 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.