Triple

T35429937
Position Surface form Disambiguated ID Type / Status
Subject America/Cancun E1024027 entity
Predicate offsetFromAmericaMexicoCity P182970 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: [America/Cancun, offsetFromAmericaMexicoCity, +1 hour]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetFromAmericaMexicoCity
Context triple: [America/Cancun, offsetFromAmericaMexicoCity, +1 hour]
  • A. timeZoneOnMexicanSide
    Indicates that the referenced time zone applies specifically to the Mexican side of a border or boundary.
  • B. offsetFromPST
    Indicates the time difference between a given time or timezone and Pacific Standard Time (PST), usually expressed as an offset in hours or minutes.
  • C. offsetFromAtlanticStandardTime
    Indicates the time difference, in hours or minutes, between a given time reference and Atlantic Standard Time.
  • D. offsetRelativeToChileStandardTime
    Indicates that a time value is expressed as an offset relative to Chile Standard Time (its base time zone).
  • E. offsetFromMainlandEcuadorTime
    Indicates the time difference between a given time zone and the standard time observed on mainland Ecuador.
  • 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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795b5228c8190adb5bf86e581f70c completed May 3, 2026, 6:36 p.m.
PD Predicate disambiguation batch_69f7910770108190bdd39ddb5d304f54 completed May 3, 2026, 6:16 p.m.
PDg Predicate description generation batch_69f791cad5e08190a8a04ca283dbecaa completed May 3, 2026, 6:19 p.m.
Created at: May 3, 2026, 4:03 p.m.