Triple

T388565
Position Surface form Disambiguated ID Type / Status
Subject Coordinated Universal Time E8830 entity
Predicate differenceFromTAI P12856 FINISHED
Object integer number of 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: integer number of seconds | Statement: [Coordinated Universal Time, differenceFromTAI, integer number of seconds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differenceFromTAI
Context triple: [Coordinated Universal Time, differenceFromTAI, integer number of seconds]
  • A. differenceFromChinaStandardTime
    Indicates the time offset or deviation of something’s time setting relative to China Standard Time.
  • B. differenceFromUSEasternDaylightTime
    Indicates that one temporal value differs by a specified amount or offset from the time expressed in US Eastern Daylight Time.
  • C. differenceFromUSEasternStandardTime
    Indicates the time offset or deviation of something’s time setting relative to U.S. Eastern Standard Time.
  • D. relationToUTC
    Indicates the temporal offset or correspondence between a given time value and Coordinated Universal Time (UTC).
  • E. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5988708190aa86d9460cecf050 completed Feb. 28, 2026, 1:23 p.m.
PD Predicate disambiguation batch_69a2e96960608190bdd342da9c5ddb5e completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2ebac09408190be802b96bb203d5f completed Feb. 28, 2026, 1:20 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.