Triple

T1295210
Position Surface form Disambiguated ID Type / Status
Subject International Development Association E27638 entity
Predicate shortName P43 FINISHED
Object IDA E134509 NE 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: IDA | Statement: [International Development Association, shortName, IDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IDA
Context triple: [International Development Association, shortName, IDA]
  • A. IDA chosen
    IDA is the International Development Association, the World Bank Group’s fund that provides concessional loans and grants to the world’s poorest countries.
  • B. IA
    IA is the standard two-letter U.S. Postal Service abbreviation for the state of Iowa.
  • C. IDEP
    IDEP is a regional training and research institute under the United Nations Economic Commission for Africa that focuses on economic development and planning in African countries.
  • D. CID
    The CID was a high-level British government body responsible for coordinating defense and military policy across the Empire in the early 20th century.
  • E. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f4031481908f5e3a53d8a72929 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc1e7948190a1ecd240c751d258 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.