Triple

T3654109
Position Surface form Disambiguated ID Type / Status
Subject Lockheed Martin Aeronautics E77488 entity
Predicate roleWithinCompany P43130 FINISHED
Object major business segment of Lockheed Martin LITERAL 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: major business segment of Lockheed Martin | Statement: [Lockheed Martin Aeronautics, roleWithinCompany, major business segment of Lockheed Martin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleWithinCompany
Context triple: [Lockheed Martin Aeronautics, roleWithinCompany, major business segment of Lockheed Martin]
  • A. roleInIndustry
    Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
  • B. positionInWork
    Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
  • C. employedRole
    Indicates that an entity holds or performs a specific role or position within an employment or work context.
  • D. roleInCommandStructure
    Indicates that one entity holds a specific position or function within the hierarchical command structure of another entity or organization.
  • E. underlyingCompanyRole chosen
    Indicates the specific function, position, or responsibility an entity holds within or in relation to a company.
  • F. None of above.

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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b9164c81908938a4338430d193 completed March 8, 2026, 6:45 p.m.
PD Predicate disambiguation batch_69adb84650148190bf79231105e58d7f completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.