Triple

T15940977
Position Surface form Disambiguated ID Type / Status
Subject Novokuybyshevsk E386558 entity
Predicate timeZone P109 FINISHED
Object Samara Time E1032786 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: Samara Time | Statement: [Novokuybyshevsk, timeZone, Samara Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samara Time
Context triple: [Novokuybyshevsk, timeZone, Samara Time]
  • A. Samara Time chosen
    Samara Time is a time zone used in parts of Russia, including the Samara region, that is three hours ahead of Coordinated Universal Time (UTC+3).
  • B. Irkutsk Time
    Irkutsk Time is a time zone in eastern Siberia, Russia, set eight hours ahead of Coordinated Universal Time (UTC+8).
  • C. Yekaterinburg Time
    Yekaterinburg Time is a Russian time zone used in the Ural region, typically four hours ahead of Coordinated Universal Time (UTC+4) and one hour ahead of Moscow Time.
  • D. Krasnoyarsk Time (standard)
    Krasnoyarsk Time (standard) is a time zone used in central Siberia, Russia, corresponding to UTC+7.
  • E. Magadan Time
    Magadan Time is a time zone used in parts of Russia’s Far East, including regions such as the Sakha Republic.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5bbc07c819098fd768e2e6b5b3e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.