Triple

T652399
Position Surface form Disambiguated ID Type / Status
Subject Metonic cycle E11371 entity
Predicate approximationError P4460 FINISHED
Object about 2 hours per 19-year cycle 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: about 2 hours per 19-year cycle | Statement: [Metonic cycle, approximationError, about 2 hours per 19-year cycle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximationError
Context triple: [Metonic cycle, approximationError, about 2 hours per 19-year cycle]
  • A. approximates chosen
    Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
  • B. approximationType
    Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
  • C. relativeStandardUncertainty
    Indicates the ratio of a measurement’s standard uncertainty to the measured value, expressing uncertainty relative to the magnitude of the quantity.
  • D. hasApproximateValue
    Indicates that one entity’s value is close to, but not exactly equal to, the value of another entity within an acceptable margin of error.
  • E. approximateMass
    Indicates that one entity has a mass value that is an estimate or close approximation of the mass of 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f35acb08190a3a8248023ce07f9 completed March 1, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69a49d1001088190aa7ca3c8f2ad0e32 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.