Triple

T455251
Position Surface form Disambiguated ID Type / Status
Subject International Clearing Union E7218 entity
Predicate relatedConcept P37 FINISHED
Object bancor E57023 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: bancor | Statement: [International Clearing Union, relatedConcept, bancor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bancor
Context triple: [International Clearing Union, relatedConcept, bancor]
  • A. bancor chosen
    Bancor was a proposed supranational currency unit conceived by John Maynard Keynes for use in an International Clearing Union to stabilize global trade and payments after World War II.
  • B. ERC
    The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
  • C. BCAM
    BCAM (the Broad Contemporary Art Museum) is a major contemporary art building at the Los Angeles County Museum of Art that houses a significant collection of modern and contemporary works.
  • D. BANZSL
    BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
  • E. BitC
    BitC is a systems programming language designed for safety, low-level control, and formal verification, drawing on ideas from Modula-3 and capability-based security.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef9f772c8190863399c5ee1378fe completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f555b988190b3c060261dc811df completed March 1, 2026, 2:38 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.