Triple

T8590450
Position Surface form Disambiguated ID Type / Status
Subject Committee for Civilian Aspects of Crisis Management E203414 entity
Predicate abbreviation P43 FINISHED
Object CIVCOM E745177 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: CIVCOM | Statement: [Committee for Civilian Aspects of Crisis Management, abbreviation, CIVCOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIVCOM
Context triple: [Committee for Civilian Aspects of Crisis Management, abbreviation, CIVCOM]
  • A. CIVCOM chosen
    CIVCOM is a European Union advisory body that helps shape and oversee the civilian aspects of the EU’s crisis management and security missions.
  • B. Civmec
    Civmec is an Australian engineering and construction company specializing in heavy engineering, shipbuilding, and defence industry projects.
  • C. CIV
    CIV is the three-letter ISO 3166-1 alpha-3 country code assigned to Côte d'Ivoire (Ivory Coast).
  • D. CIVC
    CIVC is the French interprofessional body that regulates, protects, and promotes the Champagne wine industry and its appellation.
  • E. CIVIS
    CIVIS is a European University Alliance that brings together several leading universities to promote cross-border education, research collaboration, and societal engagement across Europe.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4665f1708190b736dd67593234d7 completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb9ef3ac819098810294e6bc34a7 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:23 p.m.