Triple
T24493983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Tonga |
E617726
|
entity |
| Predicate | internationalMembership |
P27891
|
FINISHED |
| Object | World Bank |
—
|
NE NERFINISHED |
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: World Bank | Statement: [Economy of Tonga, internationalMembership, World Bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalMembership Context triple: [Economy of Tonga, internationalMembership, World Bank]
-
A.
membershipIn
chosen
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
B.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
C.
professionalMembership
Indicates that an entity holds membership or affiliation in a professional organization, association, or body.
-
D.
alternativeMembership
Indicates that an entity belongs to one of several possible groups or categories that can substitute for each other as valid memberships.
-
E.
membershipField
Indicates that one entity serves as a field or attribute capturing the membership status or association of another entity within a group, organization, or collection.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.