Triple
T27758214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidua finches |
E701388
|
entity |
| Predicate | maleTail |
P78622
|
FINISHED |
| Object | often elongated ornamental tail |
—
|
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: often elongated ornamental tail | Statement: [Vidua finches, maleTail, often elongated ornamental tail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleTail Context triple: [Vidua finches, maleTail, often elongated ornamental tail]
-
A.
maleFeature
chosen
Indicates that the subject possesses a characteristic or attribute typically associated with males.
-
B.
maleDisplay
Indicates that a male individual is performing a display behavior directed toward another entity, typically for attraction, competition, or signaling.
-
C.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
D.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
-
E.
maleCalled
Indicates that a male individual is referred to or named by a particular name or label.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637636910819087e8bb5ecb026a9a |
completed | May 2, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:25 p.m.