Triple

T2451
Position Surface form Disambiguated ID Type / Status
Subject harmonic analyzer E45 entity
Predicate measures P98 FINISHED
Object harmonic distortion 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: harmonic distortion | Statement: [harmonic analyzer, measures, harmonic distortion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: measures
Context triple: [harmonic analyzer, measures, harmonic distortion]
  • A. proposes
    Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
  • B. requires
    Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
  • C. mission
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • D. elects
    Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
  • E. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • 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_69a22cde80848190b62c5f556b4d62ba completed Feb. 27, 2026, 11:46 p.m.
NER Named-entity recognition batch_69a2316d88a08190b2e03041674b5674 completed Feb. 28, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69a230c3ee4481908216244c38aa8aef completed Feb. 28, 2026, 12:03 a.m.
Created at: Feb. 27, 2026, 11:48 p.m.