Triple
T15299182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Weightlifting Federation |
E365738
|
entity |
| Predicate | numberOfMemberFederationsApprox |
P21800
|
FINISHED |
| Object | 190+ |
—
|
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: 190+ | Statement: [International Weightlifting Federation, numberOfMemberFederationsApprox, 190+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMemberFederationsApprox Context triple: [International Weightlifting Federation, numberOfMemberFederationsApprox, 190+]
-
A.
numberOfNationalFederations
Indicates the total count of national federations associated with or governed by a given entity.
-
B.
numberOfRegionalMembers
Indicates the quantity of members associated with or belonging to a specific region within a given context.
-
C.
numberOfMemberOrganizations
chosen
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
-
D.
associatedConfederationCount
Indicates the number of distinct confederations with which an entity is associated.
-
E.
numberOfMemberNOCs
Indicates the total count of National Olympic Committees (NOCs) that are members of a given organization or group.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03686bfb8819080ba0caae652170a |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.