Triple

T4002153
Position Surface form Disambiguated ID Type / Status
Subject Cyber and Information Domain Service E89437 entity
Predicate hasAbbreviation P43 FINISHED
Object CIR E407244 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: CIR | Statement: [Cyber and Information Domain Service, hasAbbreviation, CIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIR
Context triple: [Cyber and Information Domain Service, hasAbbreviation, CIR]
  • A. CIR chosen
    CIR is the abbreviated name for the Cyber and Information Domain Service, a branch focused on operations in cyberspace and the information environment.
  • B. CIRO
    CIRO is Japan’s Cabinet Intelligence and Research Office, a central government agency responsible for gathering, analyzing, and coordinating national intelligence for the Prime Minister and cabinet.
  • C. CIC
    CIC is the commonly used abbreviation for the Cement Industry Committee, an organization associated with the cement sector.
  • D. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • E. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa44125881909f45ecd0a986c581 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562455a0819097fb6a566f2d387a completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:34 p.m.