Triple

T4428251
Position Surface form Disambiguated ID Type / Status
Subject America/Bahia_Banderas E95260 entity
Predicate hasSameOffsetAs P8570 FINISHED
Object America/Guadalajara 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: America/Guadalajara | Statement: [America/Bahia_Banderas, hasSameOffsetAs, America/Guadalajara]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSameOffsetAs
Context triple: [America/Bahia_Banderas, hasSameOffsetAs, America/Guadalajara]
  • A. sameUTCOffsetAs chosen
    Indicates that two time-related entities share the same offset from Coordinated Universal Time (UTC), regardless of their specific time zones or locations.
  • B. isOffsetFrom
    Indicates that one entity’s position, value, or occurrence is displaced by a specified amount or direction relative to another entity.
  • C. observesSameTimeAs
    Indicates that two observation events occur simultaneously or during the same time interval.
  • D. usesOffsetFrom
    Indicates that one entity determines or expresses its position, value, or behavior relative to another by applying a specified offset from that reference.
  • E. UTCoffsetComparison
    Indicates a comparison between the time zone UTC offsets of two entities, specifying how their local times differ relative to Coordinated Universal Time.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355674d5481908bf2dfd611f3520f completed March 13, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69b34f5eabe88190a12b244ea71e46d6 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:30 p.m.