Triple

T5463006
Position Surface form Disambiguated ID Type / Status
Subject Marshall Group E122638 entity
Predicate hasSubsidiary P254 FINISHED
Object Marshall Aerospace E395638 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: Marshall Aerospace | Statement: [Marshall Group, hasSubsidiary, Marshall Aerospace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshall Aerospace
Context triple: [Marshall Group, hasSubsidiary, Marshall Aerospace]
  • A. Marshall Aerospace chosen
    Marshall Aerospace is a British aerospace engineering and defense company known for its aircraft maintenance, modification, and conversion services for military and civilian fleets.
  • B. Spar Aerospace
    Spar Aerospace was a Canadian aerospace company best known for designing and building the original Canadarm robotic manipulator for NASA’s Space Shuttle program.
  • C. British Aerospace
    British Aerospace was a major British aircraft and defense manufacturer that became one of the core predecessors of today’s BAE Systems.
  • D. Ball Aerospace
    Ball Aerospace is an American aerospace company known for designing and building advanced space systems, instruments, and components for NASA, the U.S. military, and commercial customers.
  • E. Hawker Siddeley
    Hawker Siddeley was a major British aircraft manufacturing and engineering conglomerate known for producing military and civil aircraft during the mid-20th century.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92033dd08190a90bcae6b9f149d3 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414ebd288190ae90593232ff2db9 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.