Triple

T76491
Position Surface form Disambiguated ID Type / Status
Subject America/Bogota E1527 entity
Predicate observesDST P384 FINISHED
Object no 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: no | Statement: [America/Bogota, observesDST, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: observesDST
Context triple: [America/Bogota, observesDST, no]
  • A. observesDaylightSavingTime chosen
    Indicates that an entity adjusts its standard time forward and backward according to a daylight saving time schedule.
  • B. UTCOffsetDaylightSavingTime
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • C. DSTStartRule
    Indicates the rule or condition that determines when daylight saving time begins for a given time zone or region.
  • D. DSTAbbreviation
    Indicates that one entity is the standard abbreviated form used to represent another entity related to daylight saving time.
  • E. DSTEndRule
    Indicates the rule or condition that specifies when daylight saving time ends in a given timekeeping system.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2559892dc81909303f2eefdc0025f completed Feb. 28, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69a24eaf99e481908e8d314577e22ecf completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.