Triple

T8978879
Position Surface form Disambiguated ID Type / Status
Subject Yuzhno-Sakhalinsk E214469 entity
Predicate formerName P65 FINISHED
Object Vladimirovka E769986 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: Vladimirovka | Statement: [Yuzhno-Sakhalinsk, formerName, Vladimirovka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladimirovka
Context triple: [Yuzhno-Sakhalinsk, formerName, Vladimirovka]
  • A. Vladimirovka chosen
    Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
  • B. Duleevka
    Duleevka is a small settlement in Russia known primarily as the birthplace of Soviet statesman Nikolai Ryzhkov.
  • C. Korukivka
    Korukivka is a small city in northern Ukraine known for its location within the Chernihiv region and its historical significance, including tragic events during World War II.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb8de5e081909cce650a0b299e85 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:03 p.m.