Triple

T32373179
Position Surface form Disambiguated ID Type / Status
Subject Yamethin Township E827201 entity
Predicate hasOfficialTimeZone P132463 FINISHED
Object MMT 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: MMT | Statement: [Yamethin Township, hasOfficialTimeZone, MMT]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialTimeZone
Context triple: [Yamethin Township, hasOfficialTimeZone, MMT]
  • A. hasTimeZones
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • B. hasStandardTimeZone chosen
    Indicates that an entity is associated with a particular standard time zone used to define its official local time.
  • C. hasTimeZoneNote
    Indicates that there is an associated note or annotation providing additional information or clarification about a time zone.
  • D. isLocatedInTimeZoneRegion
    Indicates that one entity exists within or is associated with the temporal boundaries defined by a specific time zone region.
  • E. hasTimeZoneInWinter
    Indicates that an entity is associated with a specific time zone during the winter season.
  • 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_69f349166d548190887b412fe908e2f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
Created at: May 1, 2026, 12:50 a.m.