Triple
T10565706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Conference on Weights and Measures |
E249343
|
entity |
| Predicate | numberOfAssociates |
P12132
|
FINISHED |
| Object | approximately 40 associate states and economies |
—
|
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: approximately 40 associate states and economies | Statement: [General Conference on Weights and Measures, numberOfAssociates, approximately 40 associate states and economies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAssociates Context triple: [General Conference on Weights and Measures, numberOfAssociates, approximately 40 associate states and economies]
-
A.
numberOfAssociateMembers
chosen
Indicates the total count of associate members linked to a given entity.
-
B.
numberOfAssociationsRepresented
Indicates the total count of associations that are captured or represented by a given entity or construct.
-
C.
memberAssociationCount
Indicates the number of associations or group memberships linked to a given member.
-
D.
numberOfMemberOrganizations
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
-
E.
hasAssociateMember
Indicates that an entity has another entity connected to it in a non-full, typically limited or secondary, membership capacity.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ce78c8190bf3227053ef88a48 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:36 p.m.