Triple

T4191414
Position Surface form Disambiguated ID Type / Status
Subject CST E89044 entity
Predicate offsetDirectionFromUTC P15748 FINISHED
Object behind 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: behind | Statement: [CST, offsetDirectionFromUTC, behind]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetDirectionFromUTC
Context triple: [CST, offsetDirectionFromUTC, behind]
  • A. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • 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. offsetFromUTCInHours
    Indicates the number of hours a time value is offset from Coordinated Universal Time (UTC), positive for time zones ahead and negative for those behind.
  • D. offsetFromUTCInMinutes
    Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
  • E. offsetDirection chosen
    Indicates the relative direction in which one entity is displaced or shifted 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af04b009dc8190abda3f149a5b16fa completed March 9, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69af01935064819096b7619f42e164dd completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:46 p.m.