Triple

T61
Position Surface form Disambiguated ID Type / Status
Subject Differential analyzer E1 entity
Predicate usesComponent P35 FINISHED
Object interconnected rotating shafts 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: interconnected rotating shafts | Statement: [Differential analyzer, usesComponent, interconnected rotating shafts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesComponent
Context triple: [Differential analyzer, usesComponent, interconnected rotating shafts]
  • A. usesComputationMethod
    Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
  • B. hasPart chosen
    Indicates that one entity is a component, segment, or constituent part of another entity.
  • C. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • E. commissionedBy
    Indicates that one entity has been formally requested, authorized, or hired by another entity to create, perform, or carry out something.
  • 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_69a222a954e48190b48f126a67485661 completed Feb. 27, 2026, 11:03 p.m.
NER Named-entity recognition batch_69a228187e888190b2bb2aee9a69b61b completed Feb. 27, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69a226e6f58881908808f6985f779c3c completed Feb. 27, 2026, 11:21 p.m.
Created at: Feb. 27, 2026, 11:04 p.m.