Triple

T7847033
Position Surface form Disambiguated ID Type / Status
Subject multilateral development banks E181948 entity
Predicate typicalBorrowers P69284 FINISHED
Object sovereign governments 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: sovereign governments | Statement: [multilateral development banks, typicalBorrowers, sovereign governments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalBorrowers
Context triple: [multilateral development banks, typicalBorrowers, sovereign governments]
  • A. targetBorrowers chosen
    Indicates that certain entities are the intended or eligible recipients of a loan or borrowing arrangement from another entity.
  • B. typicalAudience
    Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
  • C. borrower
    Indicates a relationship where one entity temporarily receives and uses something belonging to another entity, typically with the obligation to return it.
  • D. typicalLoanPurpose
    Indicates the usual or intended purpose for which a loan is taken or used.
  • E. eligibleBorrower
    Indicates that an entity meets the required conditions to be allowed to borrow (e.g., money, items, or resources) under a given set of rules or policies.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb164105fc8190a60aaa27dd619d5a completed March 31, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69cae92180f88190ae3d44c3de7adc93 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:49 p.m.