Triple
T13135275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apocrita |
E312065
|
entity |
| Predicate | hasWingPairs |
P9109
|
FINISHED |
| Object | two pairs of membranous wings in most species |
—
|
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: two pairs of membranous wings in most species | Statement: [Apocrita, hasWingPairs, two pairs of membranous wings in most species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWingPairs Context triple: [Apocrita, hasWingPairs, two pairs of membranous wings in most species]
-
A.
hasWingOf
Indicates that one entity possesses or is associated with the wing that belongs to another entity.
-
B.
hasNumberOfLeftWings
Indicates the quantity of left wings that an entity possesses.
-
C.
hasWings
chosen
Indicates that an entity possesses wings as physical appendages.
-
D.
hasWingsMadeOf
Indicates that one entity has wings whose material or composition is made from the other entity.
-
E.
hasHostWing
Indicates that one entity serves as the host structure or supporting wing for another entity.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b3d72c8190b69ae56435a954fa |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d9804543cc8190a23cd7da59a12a7b |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:08 p.m.