Triple

T11195544
Position Surface form Disambiguated ID Type / Status
Subject Battle of Bolkhov E264911 entity
Predicate location P40 FINISHED
Object Bolkhov E827183 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: Bolkhov | Statement: [Battle of Bolkhov, location, Bolkhov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolkhov
Context triple: [Battle of Bolkhov, location, Bolkhov]
  • A. Bolkhov chosen
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • 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. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • D. Borisoglebsk
    Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • E. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8bf14e481908563b15790af4d20 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad00f9148190842bf587a2e4cbdf completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.