Triple
T30121199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | blue-gray tanager |
E765565
|
entity |
| Predicate | notableSubspeciesVariation |
P88519
|
FINISHED |
| Object | variation in intensity of blue coloration |
—
|
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: variation in intensity of blue coloration | Statement: [blue-gray tanager, notableSubspeciesVariation, variation in intensity of blue coloration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSubspeciesVariation Context triple: [blue-gray tanager, notableSubspeciesVariation, variation in intensity of blue coloration]
-
A.
notableVariation
chosen
Indicates that one entity represents a significant or noteworthy deviation or difference from another entity within a given context.
-
B.
subspeciesOf
Indicates that one taxonomic group is a subspecific rank within, and directly derived from, another species.
-
C.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
D.
recognizedSubspeciesCount
Indicates the number of subspecies that are formally recognized for a given species or taxon.
-
E.
subspeciesIncludes
Indicates that a particular subspecies contains or encompasses the referenced member entities within its taxonomic grouping.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:13 p.m.