Triple

T10029059
Position Surface form Disambiguated ID Type / Status
Subject Odoyevsky Uyezd E204805 entity
Predicate namedAfter P63 FINISHED
Object Odoyev E838518 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: Odoyev | Statement: [Odoyevsky Uyezd, namedAfter, Odoyev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odoyev
Context triple: [Odoyevsky Uyezd, namedAfter, Odoyev]
  • A. Odoyev chosen
    Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
  • B. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. Gorokhovets
    Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
  • D. Bogdanovka
    Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
  • E. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde69bd08190a5c79ec8487dfff6 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb9a62788190aed75d03f1d2aeb6 completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:54 p.m.