Triple

T5009731
Position Surface form Disambiguated ID Type / Status
Subject Parque Usaquén E112586 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: [Parque Usaquén, locatedInTimeZone, America/Bogota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America/Bogota
Context triple: [Parque Usaquén, 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730a7590819088ab8d49c5c88c2f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9269e72881908ea49a77a83b8958 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.