Triple

T9064202
Position Surface form Disambiguated ID Type / Status
Subject European Union Military Committee E217201 entity
Predicate alsoKnownAs P39 FINISHED
Object EUMC E777387 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: EUMC | Statement: [European Union Military Committee, alsoKnownAs, EUMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EUMC
Context triple: [European Union Military Committee, alsoKnownAs, EUMC]
  • A. EUMC chosen
    EUMC is the highest military body within the European Union, composed of member states’ Chiefs of Defence and responsible for providing military advice and direction to the EU’s security and defense policy.
  • B. EUMS
    EUMS is the European Union’s military planning and coordination body responsible for strategic oversight of the EU’s security and defense missions.
  • C. ECUM
    ECUM is the School of Sciences at the University of Minho, a Portuguese higher education institution focused on scientific education and research.
  • D. EMEAP
    EMEAP is a cooperative forum of central banks and monetary authorities from the East Asia-Pacific region that focuses on regional financial stability, policy dialogue, and collaboration.
  • E. EEUM
    EEUM is the engineering school of the University of Minho in Portugal, offering education and research across multiple engineering disciplines.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fe00980819082571eccb608d605 completed April 3, 2026, 9:23 p.m.
Created at: March 30, 2026, 7:11 p.m.