Triple

T15239798
Position Surface form Disambiguated ID Type / Status
Subject MBDA Germany E364224 entity
Predicate partOf P40 FINISHED
Object MBDA Group E1101079 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 Group | Statement: [MBDA Germany, partOf, MBDA Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBDA Group
Context triple: [MBDA Germany, partOf, MBDA Group]
  • A. MBDA France
    MBDA France is a major European defense company specializing in the design and production of advanced missile systems and related technologies.
  • B. European missile systems company MBDA chosen
    MBDA is a leading European defense company specializing in the design and manufacture of advanced missile and air defense systems for land, sea, and air forces.
  • C. Thales Defence & Security
    Thales Defence & Security is a division of the Thales Group specializing in advanced defense, security, and mission-critical technologies for military and governmental customers worldwide.
  • D. MBDA Germany
    MBDA Germany is a defense company specializing in the development and production of advanced missile systems and guided weapons for military applications.
  • E. Dassault Aviation
    Dassault Aviation is a French aerospace company renowned for designing and producing military fighter jets and business aircraft, including the Mirage and Rafale families and Falcon business jets.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007db9a148190aadea8d5f8b6b261 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd41b7c48190917385c6c61370b2 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.