Triple

T3134030
Position Surface form Disambiguated ID Type / Status
Subject Kostroma E65483 entity
Predicate timezone P109 FINISHED
Object Moscow Time E3442 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: Moscow Time | Statement: [Kostroma, timezone, Moscow Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow Time
Context triple: [Kostroma, timezone, Moscow Time]
  • A. Moscow Time chosen
    Moscow Time is the standard time zone used in Moscow and much of western Russia, corresponding to UTC+3 year-round.
  • B. 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.
  • C. Krasnoyarsk Time (standard)
    Krasnoyarsk Time (standard) is a time zone used in central Siberia, Russia, corresponding to UTC+7.
  • D. Magadan Time
    Magadan Time is a time zone used in parts of Russia’s Far East, including regions such as the Sakha Republic.
  • E. Anadyr Time
    Anadyr Time is the time zone used in Russia’s far northeastern regions, including Chukotka and parts of the Russian Far East, offset well ahead of Coordinated Universal Time.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada562540081908627950dd0b56a1e completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f63f8f881909348d4c6eb3c7e20 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.