Triple

T18721260
Position Surface form Disambiguated ID Type / Status
Subject America/Denver E457778 entity
Predicate ianaTimeZoneDatabase P719 FINISHED
Object tz database NE NERFINISHED

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: tz database | Statement: [America/Denver, ianaTimeZoneDatabase, tz database]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tz database
Context triple: [America/Denver, ianaTimeZoneDatabase, tz database]
  • A. TZ
    TZ is the ISO 3166-1 alpha-2 country code for Tanzania, an East African nation known for Mount Kilimanjaro, the Serengeti, and Zanzibar.
  • B. IANA time zone database chosen
    The IANA time zone database is a globally maintained, authoritative repository of time zone information used by most modern computer systems and software to handle local times and daylight saving rules.
  • C. Time Zone
    Time Zone was a hip hop and electro music project led by Afrika Bambaataa that featured various collaborations and genre-blending experiments in the 1980s.
  • D. Time Zone API
    Time Zone API is a Google Maps web service that provides time zone information for specified locations based on geographic coordinates.
  • E. NSTimeZone
    NSTimeZone is a Foundation framework class in Apple's platforms that encapsulates time zone information used for date and time calculations and conversions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56abadca08190ab1e699b7dcc0c4d completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.