Triple

T23101930
Position Surface form Disambiguated ID Type / Status
Subject Martin L. Smith E576051 entity
Predicate engineeringSpecialty P77595 FINISHED
Object fortifications 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: fortifications | Statement: [Martin L. Smith, engineeringSpecialty, fortifications]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineeringSpecialty
Context triple: [Martin L. Smith, engineeringSpecialty, fortifications]
  • A. engineeringEmphasis
    Indicates that something places a primary focus or specialization on engineering principles, methods, or activities.
  • B. engineeringBasis
    Indicates that something serves as the foundational technical or engineering rationale, justification, or underlying basis for another entity or decision.
  • C. engineeringContribution
    Indicates a relationship where an entity contributes engineering work, expertise, or effort toward the design, development, or improvement of another entity.
  • D. typeOfEngineering chosen
    Indicates that one entity is a specific branch, category, or kind of engineering to which the other entity belongs.
  • E. engineeringDesign
    Indicates the relationship in which an entity is responsible for planning, specifying, or creating the technical design of another entity (such as a system, component, or structure).
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de9fa8c81909fd26ff37173b85b completed April 29, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69ef89e5ce748190b2c3ac3843484127 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:58 p.m.