Triple

T19900551
Position Surface form Disambiguated ID Type / Status
Subject Sakhalin Time E478273 entity
Predicate usedIn P98 FINISHED
Object Korsakov 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: Korsakov | Statement: [Sakhalin Time, usedIn, Korsakov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korsakov
Context triple: [Sakhalin Time, usedIn, Korsakov]
  • A. Korsakov chosen
    Korsakov is a Russian port town on the southern coast of Sakhalin Island that serves as an important regional hub for maritime trade and fishing in the northwest Pacific.
  • B. Korsakov
    Korsakov is a Russian surname most notably associated with figures such as the composer Nikolai Rimsky-Korsakov and various Russian military and public officials.
  • C. Izhora
    Izhora is a small Finnic ethnic group indigenous to the Ingria region near the eastern Gulf of Finland, known for its distinct Uralic language and traditional culture.
  • D. Kastoria
    Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
  • E. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.