Triple
T768449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain bluebird |
E16225
|
entity |
| Predicate | femalePlumageColor |
P4572
|
FINISHED |
| Object | gray-brown with blue tinges |
—
|
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: gray-brown with blue tinges | Statement: [Mountain bluebird, femalePlumageColor, gray-brown with blue tinges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femalePlumageColor Context triple: [Mountain bluebird, femalePlumageColor, gray-brown with blue tinges]
-
A.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
B.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
nationalBird
Indicates that one entity is officially designated as the national bird or avian symbol of another entity (typically a country or region).
-
E.
womenWing
Indicates a relationship where a woman is associated with or positioned at the wing (side section) of a structure, group, or setting.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a5074c788190a74fc20ad24e2d26 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.