Triple
T13135262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apocrita |
E312065
|
entity |
| Predicate | metasomaComposedOf |
P14960
|
FINISHED |
| Object | remaining abdominal segments |
—
|
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: remaining abdominal segments | Statement: [Apocrita, metasomaComposedOf, remaining abdominal segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metasomaComposedOf Context triple: [Apocrita, metasomaComposedOf, remaining abdominal segments]
-
A.
exoskeletonComposition
Indicates the material or substance that makes up an entity’s exoskeleton.
-
B.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
C.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
D.
constitutedBy
chosen
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
E.
hasBiologicalComponents
Indicates that an entity is composed of, contains, or is associated with one or more biological parts or substances.
- 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.