Triple
T13135278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apocrita |
E312065
|
entity |
| Predicate | mouthpartsType |
P73460
|
FINISHED |
| Object | chewing or chewing-lapping |
—
|
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: chewing or chewing-lapping | Statement: [Apocrita, mouthpartsType, chewing or chewing-lapping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mouthpartsType Context triple: [Apocrita, mouthpartsType, chewing or chewing-lapping]
-
A.
hasTypeOfMouth
chosen
Indicates that an entity possesses a mouth characterized by a specific type or form.
-
B.
hasMandibles
Indicates that an entity possesses mandibles, i.e., jaw-like mouthparts used for biting, cutting, or holding.
-
C.
snoutType
Indicates the type or form of an entity’s snout in relation to its overall morphology.
-
D.
hasAntennae
Indicates that one entity possesses or is equipped with antennae as a physical feature.
-
E.
hasChelicerae
Indicates that an entity possesses chelicerae, the specialized mouthpart appendages used for feeding or defense in certain arthropods.
- 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.