Triple
T25294256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | little bustard |
E634171
|
entity |
| Predicate | maleDisplay |
P158361
|
FINISHED |
| Object | jumping display with wing flicks |
—
|
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: jumping display with wing flicks | Statement: [little bustard, maleDisplay, jumping display with wing flicks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleDisplay Context triple: [little bustard, maleDisplay, jumping display with wing flicks]
-
A.
maleFeature
Indicates that the subject possesses a characteristic or attribute typically associated with males.
-
B.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
C.
maleLargerThan
Indicates that the male individual in a pair is larger in size than the corresponding female or other compared individual.
-
D.
maleCalled
Indicates that a male individual is referred to or named by a particular name or label.
-
E.
maleCaste
Indicates that the subject belongs to a caste or social group that is classified as male.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fd007388190a7d80ea457119072 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:22 p.m.