Triple
T26201791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Republic of Afghanistan |
E655246
|
entity |
| Predicate | WorldBankMembership |
P5703
|
FINISHED |
| Object | member of the World Bank |
—
|
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: member of the World Bank | Statement: [Islamic Republic of Afghanistan, WorldBankMembership, member of the World Bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldBankMembership Context triple: [Islamic Republic of Afghanistan, WorldBankMembership, member of the World Bank]
-
A.
WorldBankMember
chosen
Indicates that an entity is a member country or organization formally belonging to the World Bank.
-
B.
IMFMember
Indicates that an entity is a member of, or formally affiliated with, the International Monetary Fund (IMF).
-
C.
OECDMember
Indicates that an entity is a member country or participant in the Organisation for Economic Co-operation and Development (OECD).
-
D.
G20Member
Indicates that an entity is a member state or participant in the Group of Twenty (G20) international forum.
-
E.
developmentCountry
Indicates that one entity is a country that is in the process of economic, social, or infrastructural development, often relative to more industrialized nations.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 26, 2026, 8:48 p.m.