Triple

T27356579
Position Surface form Disambiguated ID Type / Status
Subject ATK Launch Systems E685700 entity
Predicate materialExpertise P87264 FINISHED
Object composite motor cases 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: composite motor cases | Statement: [ATK Launch Systems, materialExpertise, composite motor cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: materialExpertise
Context triple: [ATK Launch Systems, materialExpertise, composite motor cases]
  • A. skilledIn chosen
    Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
  • B. materialSpecialization
    Indicates a relationship where one material is a specialized, more specific, or refined form of another more general material.
  • C. mechanicalExpertise
    Indicates that one entity possesses specialized knowledge or skill in understanding, operating, or repairing mechanical systems or devices in relation to another entity or context.
  • D. hasDesignExpertise
    Indicates that one entity possesses specialized knowledge or skill in design related to another entity.
  • E. basedOnExpertiseOf
    Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
  • 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_69ef14887c288190931b8431fdbf53c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 27, 2026, 11:51 a.m.