Triple

T19250826
Position Surface form Disambiguated ID Type / Status
Subject Bell XP-77 E481386 entity
Predicate materialStrategy P92637 FINISHED
Object use of non-strategic materials 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: use of non-strategic materials | Statement: [Bell XP-77, materialStrategy, use of non-strategic materials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: materialStrategy
Context triple: [Bell XP-77, materialStrategy, use of non-strategic materials]
  • A. material
    Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
  • B. materialOptions chosen
    Indicates that there are one or more possible materials that can be chosen or applied in relation to a given entity or context.
  • C. materialSpecialization
    Indicates a relationship where one material is a specialized, more specific, or refined form of another more general material.
  • D. materialUsed
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • E. materialConcept
    Indicates that one entity represents or refers to a material-related concept associated with another entity.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3001308190913e24343769be8d completed April 20, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69e4dd002d00819088b625056edfb74e completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:27 p.m.