Triple
T22063368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selasphorus rufus |
E545205
|
entity |
| Predicate | maleThroatColor |
P108795
|
FINISHED |
| Object | iridescent orange-red gorget |
—
|
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: iridescent orange-red gorget | Statement: [Selasphorus rufus, maleThroatColor, iridescent orange-red gorget]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleThroatColor Context triple: [Selasphorus rufus, maleThroatColor, iridescent orange-red gorget]
-
A.
throatColor
chosen
Indicates the color characteristic specifically associated with an entity’s throat region.
-
B.
maleHasBlackThroat
Indicates that the male individual in question possesses a black-colored throat.
-
C.
adultMaleColoration
Indicates the characteristic coloration pattern specifically exhibited by adult males of a species.
-
D.
maleFeature
Indicates that the subject possesses a characteristic or attribute typically associated with males.
-
E.
mouthColor
Indicates the color attribute associated specifically with an entity’s mouth.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12881f9e0819091b8e6d8ff6802bd |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.