Triple

T9416923
Position Surface form Disambiguated ID Type / Status
Subject Gachancipá E227047 entity
Predicate locatedInTimeZone P109 FINISHED
Object America/Bogota E1527 NE 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/Bogota | Statement: [Gachancipá, locatedInTimeZone, America/Bogota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America/Bogota
Context triple: [Gachancipá, locatedInTimeZone, America/Bogota]
  • A. America/Bogota chosen
    America/Bogota is the IANA time zone identifier representing the local time observed in Bogotá, Colombia.
  • B. America/Merida
    America/Merida is an IANA time zone identifier representing the local time observed in Mérida and surrounding areas of Mexico within the Central Time Zone.
  • C. America/Havana
    America/Havana is the IANA time zone identifier representing the local time observed in Havana, Cuba.
  • D. Venezuelan Standard Time
    Venezuelan Standard Time is the time zone used throughout Venezuela, corresponding to UTC−4 hours.
  • E. America/Belize
    America/Belize is the IANA time zone identifier representing the standard time observed in Belize, corresponding to Central Standard Time without daylight saving changes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cb4be08190a47f901a9703f9db completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107bfd73481908e07d0ee2774bd59 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.