Triple
T33693237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nightjars |
E863236
|
entity |
| Predicate | plumageAdaptation |
P165700
|
FINISHED |
| Object | camouflage against leaf litter and bark |
—
|
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: camouflage against leaf litter and bark | Statement: [nightjars, plumageAdaptation, camouflage against leaf litter and bark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plumageAdaptation Context triple: [nightjars, plumageAdaptation, camouflage against leaf litter and bark]
-
A.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
B.
plumageMorph
Indicates a relationship where an entity is characterized by a particular form or variant of plumage.
-
C.
plumageFunction
chosen
Indicates the role or purpose that an organism’s plumage serves, such as in display, camouflage, thermoregulation, or other functions.
-
D.
plumageDimorphism
Indicates that there is a difference in plumage characteristics between two groups (typically sexes or age classes) within a species.
-
E.
femalePlumageFeature
Indicates that the specified plumage feature is characteristic of the female individual in a species.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa86c4308190b13345c7517a8ddf |
completed | May 3, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.