Triple

T5150618
Position Surface form Disambiguated ID Type / Status
Subject TAI E116183 entity
Predicate relationToUT1 P62230 FINISHED
Object not adjusted to match Earth rotation 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: not adjusted to match Earth rotation | Statement: [TAI, relationToUT1, not adjusted to match Earth rotation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationToUT1
Context triple: [TAI, relationToUT1, not adjusted to match Earth rotation]
  • A. relationToUTC
    Indicates the temporal offset or correspondence between a given time value and Coordinated Universal Time (UTC).
  • B. differenceFromTAI
    Indicates the degree or nature of deviation between something and a reference point defined as TAI (e.g., a target, standard, or baseline associated with TAI).
  • C. relatedTimeStandard
    Indicates that one time-related entity is defined, interpreted, or aligned according to a particular time standard or reference timescale.
  • D. driftPerYearRelativeToTropicalYearDays
    Indicates the amount of calendar drift, measured in days per year, relative to the length of the tropical year.
  • E. timeDifferenceWithGreenwichMeanTime
    Indicates the time offset or difference between a given time reference and Greenwich Mean Time (GMT).
  • F. None of above. chosen

Provenance (4 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c1354c81908176703b4853c1a4 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b0fbb88190851e2d7ae1bdcc09 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd79bf9b088190a556dc02f10204e4 completed March 20, 2026, 4:45 p.m.
Created at: March 20, 2026, 1:44 p.m.