Triple
T13135268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apocrita |
E312065
|
entity |
| Predicate | manyMembersExhibit |
P65145
|
FINISHED |
| Object | eusociality |
—
|
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: eusociality | Statement: [Apocrita, manyMembersExhibit, eusociality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manyMembersExhibit Context triple: [Apocrita, manyMembersExhibit, eusociality]
-
A.
manyMembersAre
chosen
Indicates that a large number of members within a group possess a specified property or participate in a particular role or condition.
-
B.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
C.
oftenExhibit
Indicates that an entity frequently displays, shows, or manifests a particular property, behavior, or characteristic.
-
D.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
E.
frequentExhibitor
Indicates that an entity regularly or repeatedly participates as an exhibitor in events, shows, or exhibitions.
- 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.