Triple
T18784333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wingless |
E459334
|
entity |
| Predicate | mutantPhenotype |
P40326
|
FINISHED |
| Object | loss of wing structures |
—
|
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: loss of wing structures | Statement: [wingless, mutantPhenotype, loss of wing structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mutantPhenotype Context triple: [wingless, mutantPhenotype, loss of wing structures]
-
A.
breedingTrait
Indicates that an entity possesses a heritable characteristic that is relevant or targeted in a breeding process or program.
-
B.
genomeCharacteristic
Indicates that an entity has a specific property, feature, or attribute related to its genome.
-
C.
biologicalCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
D.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
E.
domesticationTrait
Indicates that an entity possesses a characteristic or feature that contributes to or results from its domestication by another species.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977ffa648190be5f682bba47fb0a |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.