Triple

T16392233
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom defence industrial base E398082 entity
Predicate majorPrimeContractor P7138 FINISHED
Object MBDA UK E68178 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: MBDA UK | Statement: [United Kingdom defence industrial base, majorPrimeContractor, MBDA UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBDA UK
Context triple: [United Kingdom defence industrial base, majorPrimeContractor, MBDA UK]
  • A. MBDA UK chosen
    MBDA UK is a British armaments company specializing in the design and production of advanced missile systems for military forces.
  • B. MBDA Germany
    MBDA Germany is a defense company specializing in the development and production of advanced missile systems and guided weapons for military applications.
  • C. MBDA France
    MBDA France is a major European defense company specializing in the design and production of advanced missile systems and related technologies.
  • D. MBDA Italy
    MBDA Italy is the Italian branch of the European missile systems company MBDA, specializing in the design and production of advanced missile and air-defense technologies.
  • E. MBDA
    MBDA is a U.S. federal agency dedicated to promoting the growth and competitiveness of minority-owned businesses through programs, services, and advocacy.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003573c6d48190979201b9619c5103 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.