Triple
T3868582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple finch |
E91920
|
entity |
| Predicate | femalePlumagePattern |
P4572
|
FINISHED |
| Object | streaked |
—
|
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: streaked | Statement: [Purple finch, femalePlumagePattern, streaked]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femalePlumagePattern Context triple: [Purple finch, femalePlumagePattern, streaked]
-
A.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
B.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
C.
plumageColorCommon
Indicates that two entities share the same typical or most frequently observed plumage color.
-
D.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3dfb3c8190a0a07070f0d76bf6 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.