Triple

T16295654
Position Surface form Disambiguated ID Type / Status
Subject Marshall Aerospace E395638 entity
Predicate partOf P40 FINISHED
Object Marshall Group E122638 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 Group | Statement: [Marshall Aerospace, partOf, Marshall Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshall Group
Context triple: [Marshall Aerospace, partOf, Marshall Group]
  • A. Marshall Group chosen
    Marshall Group is a British aerospace and defense company based in Cambridge, known for its aviation services, engineering, and property businesses.
  • B. Bell-Mason Group
    Bell-Mason Group is a consulting and advisory firm best known for developing the Bell-Mason Diagnostic, a framework for assessing and guiding the growth of technology startups and ventures.
  • C. Wilson Group
    The Wilson Group is a cluster of galaxies in the constellation of Centaurus that includes Mount Wilson as one of its notable members.
  • D. West Group
    West Group was a major American legal publishing company best known for producing comprehensive case law reporters and legal research materials used by lawyers and courts.
  • E. The Walsh Group
    The Walsh Group is a major U.S.-based construction and general contracting firm known for large-scale infrastructure, building, and transportation projects.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2d08108190bab1b3325923af1d completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.