Triple

T5150766
Position Surface form Disambiguated ID Type / Status
Subject Terrestrial Time E116186 entity
Predicate offsetFromTAI P12856 FINISHED
Object 32.184 seconds 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: 32.184 seconds | Statement: [Terrestrial Time, offsetFromTAI, 32.184 seconds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetFromTAI
Context triple: [Terrestrial Time, offsetFromTAI, 32.184 seconds]
  • A. differenceFromTAI chosen
    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).
  • B. offsetFromUTC
    Indicates the time difference between a given time value and Coordinated Universal Time (UTC), typically expressed as an offset in hours and/or minutes.
  • C. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • D. offsetFromJapanStandardTime
    Indicates the time difference between a given time zone or time value and Japan Standard Time (JST), typically expressed as an offset in hours or minutes.
  • E. offsetFrom
    Indicates that one entity is positioned or scheduled at a specific distance, time, or value away from another reference 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_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.
Created at: March 20, 2026, 1:44 p.m.