Triple
T26771476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lampropsar |
E675087
|
entity |
| Predicate | characteristicColoration |
P165371
|
FINISHED |
| Object | black plumage |
—
|
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: black plumage | Statement: [Lampropsar, characteristicColoration, black plumage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicColoration Context triple: [Lampropsar, characteristicColoration, black plumage]
-
A.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
B.
colorationTrait
chosen
Indicates a relationship where an entity possesses or is characterized by a specific coloration-related trait.
-
C.
colorFieldCharacteristic
Indicates that a field or attribute is characterized or distinguished by a specific color.
-
D.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
E.
hoodColor
Indicates the color attribute specifically of an entity’s hood (e.g., the hood of a garment or vehicle).
- 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 4:02 a.m.