Triple

T4428238
Position Surface form Disambiguated ID Type / Status
Subject America/Bahia_Banderas E95260 entity
Predicate alignedWithTimeZone P48629 FINISHED
Object America/Mexico_City 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/Mexico_City | Statement: [America/Bahia_Banderas, alignedWithTimeZone, America/Mexico_City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alignedWithTimeZone
Context triple: [America/Bahia_Banderas, alignedWithTimeZone, America/Mexico_City]
  • A. sameUTCOffsetAs
    Indicates that two time-related entities share the same offset from Coordinated Universal Time (UTC), regardless of their specific time zones or locations.
  • B. alignsWith
    Indicates that one entity is in agreement, harmony, or consistent correspondence with another in terms of position, direction, standard, or principle.
  • C. timeZoneDependence
    Indicates how a process, value, or behavior changes or is determined based on the time zone in which it is considered.
  • D. followedByTimeZone
    Indicates that one time zone chronologically succeeds another in a defined ordering or sequence.
  • E. linkedToMainlandTimeZone chosen
    Indicates that an entity’s time zone is synchronized with or derived from the primary mainland time zone of a region or country.
  • 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.