Triple
T2812340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black-throated bobwhite |
E54199
|
entity |
| Predicate | maleHasDistinctiveFacialMarkings |
P31173
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Black-throated bobwhite, maleHasDistinctiveFacialMarkings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleHasDistinctiveFacialMarkings Context triple: [Black-throated bobwhite, maleHasDistinctiveFacialMarkings, true]
-
A.
hasBeard
Indicates that one entity possesses or displays a beard.
-
B.
beardStyle
Indicates the specific style or manner in which an entity’s beard is shaped, groomed, or worn.
-
C.
hasPhysicalFeature
chosen
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
D.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
-
E.
hasTattoo
Indicates that one entity bears a tattoo on their body.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4a31d081909377044d5ff791b0 |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.