Triple

T2945905
Position Surface form Disambiguated ID Type / Status
Subject Vologda Oblast E79498 entity
Predicate hasHistoricTown P847 FINISHED
Object Belozersk E364924 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: Belozersk | Statement: [Vologda Oblast, hasHistoricTown, Belozersk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belozersk
Context triple: [Vologda Oblast, hasHistoricTown, Belozersk]
  • A. Belozersk chosen
    Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
  • B. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • C. Sosnovy Bor
    Sosnovy Bor is a Russian coastal town on the Gulf of Finland known for its large nuclear power plant and role as an energy and industrial center.
  • D. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b3f86c819094526c2af611bfb5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432e95eb48190b51692cfbd7b22a6 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 2:56 p.m.