Triple
T5232196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACP Group |
E118137
|
entity |
| Predicate | memberStatesType |
P62527
|
FINISHED |
| Object | developing countries |
—
|
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: developing countries | Statement: [ACP Group, memberStatesType, developing countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberStatesType Context triple: [ACP Group, memberStatesType, developing countries]
-
A.
memberStatesOrganization
Indicates that an organization is composed of, or includes as members, the specified states.
-
B.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
C.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
D.
memberStatesContribute
Indicates that member states provide resources, support, or participation toward a shared goal, activity, or entity.
-
E.
sponsorStates
Indicates that one entity acts as a sponsor or supporting state for another entity, typically providing backing, endorsement, or resources.
- F. None of above. chosen
Provenance (4 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0223148190be88d737c25d60d7 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.