Triple
T1778578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquila adalberti |
E39235
|
entity |
| Predicate | juvenilePlumage |
P4572
|
FINISHED |
| Object | paler, more rufous than adults |
—
|
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: paler, more rufous than adults | Statement: [Aquila adalberti, juvenilePlumage, paler, more rufous than adults]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juvenilePlumage Context triple: [Aquila adalberti, juvenilePlumage, paler, more rufous than adults]
-
A.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
B.
fledgingTime
Indicates the time or age at which a young animal, typically a bird, develops enough to leave the nest and become independent.
-
C.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
D.
juvenileCommonName
Indicates the common name used specifically for the juvenile or immature life stage of an organism.
-
E.
underpartsColor
Indicates the color characteristic of the lower surface or underside of an entity’s 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.