Triple

T8590425
Position Surface form Disambiguated ID Type / Status
Subject Committee for Civilian Aspects of Crisis Management E203414 entity
Predicate shortName P43 FINISHED
Object CIVCOM
CIVCOM is a European Union advisory body that helps shape and oversee the civilian aspects of the EU’s crisis management and security missions.
 E745177 NE FINISHED

How this triple was built (4 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, shortName, 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, shortName, CIVCOM]
  • A. Civmec
    Civmec is an Australian engineering and construction company specializing in heavy engineering, shipbuilding, and defence industry projects.
  • B. CIV
    CIV is the three-letter ISO 3166-1 alpha-3 country code assigned to Côte d'Ivoire (Ivory Coast).
  • C. CIVC
    CIVC is the French interprofessional body that regulates, protects, and promotes the Champagne wine industry and its appellation.
  • D. 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.
  • E. Com21
    Com21 was a pioneering telecommunications company known for developing early cable modem and broadband access technologies in the 1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CIVCOM
Triple: [Committee for Civilian Aspects of Crisis Management, shortName, CIVCOM]
Generated description
CIVCOM is a European Union advisory body that helps shape and oversee the civilian aspects of the EU’s crisis management and security missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CIVCOM
Target entity description: CIVCOM is a European Union advisory body that helps shape and oversee the civilian aspects of the EU’s crisis management and security missions.
  • A. Civmec
    Civmec is an Australian engineering and construction company specializing in heavy engineering, shipbuilding, and defence industry projects.
  • B. CIV
    CIV is the three-letter ISO 3166-1 alpha-3 country code assigned to Côte d'Ivoire (Ivory Coast).
  • C. CIVC
    CIVC is the French interprofessional body that regulates, protects, and promotes the Champagne wine industry and its appellation.
  • D. 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.
  • E. Com21
    Com21 was a pioneering telecommunications company known for developing early cable modem and broadband access technologies in the 1990s.
  • F. None of above. chosen

Provenance (5 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_69cea8acebac81909d2fce98c6901f0c completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea9cff1ec8190a0093fb42782341e completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa9f7f8c8190965e86880ff141d5 completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:23 p.m.