Triple
T3821294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atta cephalotes |
E84376
|
entity |
| Predicate | belongsToGuild |
P27891
|
FINISHED |
| Object | leafcutter ants (Atta and Acromyrmex) |
—
|
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: leafcutter ants (Atta and Acromyrmex) | Statement: [Atta cephalotes, belongsToGuild, leafcutter ants (Atta and Acromyrmex)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToGuild Context triple: [Atta cephalotes, belongsToGuild, leafcutter ants (Atta and Acromyrmex)]
-
A.
belongsToGroup
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
B.
membershipIn
chosen
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
C.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
-
D.
confersMembershipIn
Indicates that one entity grants or bestows membership status in a group, organization, or category upon another entity.
-
E.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.