Triple
T34716430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monticola |
E1000782
|
entity |
| Predicate | notableColoration |
P37838
|
FINISHED |
| Object | blue plumage in many species |
—
|
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: blue plumage in many species | Statement: [Monticola, notableColoration, blue plumage in many species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableColoration Context triple: [Monticola, notableColoration, blue plumage in many species]
-
A.
notableColor
chosen
Indicates that an entity is characteristically or prominently associated with a particular color.
-
B.
colorationTrait
Indicates a relationship where an entity possesses or is characterized by a specific coloration-related trait.
-
C.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
D.
colorMarkings
Indicates that one entity has specific color-based markings or patterns in relation to another entity.
-
E.
notableVariation
Indicates that one entity represents a significant or noteworthy deviation or difference from another entity within a given context.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.