Triple

T17680870
Position Surface form Disambiguated ID Type / Status
Subject Amazon Time E440764 entity
Predicate relativeOffsetToBrasiliaTime P128549 FINISHED
Object −1 hour 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: −1 hour | Statement: [Amazon Time, relativeOffsetToBrasiliaTime, −1 hour]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relativeOffsetToBrasiliaTime
Context triple: [Amazon Time, relativeOffsetToBrasiliaTime, −1 hour]
  • A. offsetRelativeToChileStandardTime
    Indicates that a time value is expressed as an offset relative to Chile Standard Time (its base time zone).
  • B. relativeToEasternTime
    Indicates that the timing or occurrence of an event is specified or interpreted with respect to the Eastern Time zone.
  • C. offsetFromBeijingTime
    Indicates the time difference between a given time reference and Beijing time, typically expressed as an offset in hours or minutes.
  • D. relativePositionToInternationalDateLine
    Indicates the spatial relationship of an entity’s location with respect to the International Date Line (e.g., whether and how it lies to the east, west, or across it).
  • E. offsetFromAtlanticStandardTime
    Indicates the time difference, in hours or minutes, between a given time reference and Atlantic Standard Time.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470445b3881908bb0930b986089f7 completed April 19, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69e3cde3673c8190a889e14ba1f07dc1 completed April 18, 2026, 6:30 p.m.
PDg Predicate description generation batch_69e3cfaac2b881909e1140339eb1a0dd completed April 18, 2026, 6:38 p.m.
Created at: April 10, 2026, 10:01 a.m.