Triple

T17278219
Position Surface form Disambiguated ID Type / Status
Subject Gdov E419446 entity
Predicate partOf P40 FINISHED
Object Gdovsky District 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: Gdovsky District | Statement: [Gdov, partOf, Gdovsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdovsky District
Context triple: [Gdov, partOf, Gdovsky District]
  • A. Gdovsky District chosen
    Gdovsky District is an administrative and municipal district in western Russia known for its location within Pskov Oblast near Lake Peipus and the Estonian border.
  • B. Chaunsky District
    Chaunsky District is an administrative district in Russia’s Chukotka Autonomous Okrug, known for encompassing the Arctic port town of Pevek.
  • C. Pytalovsky District
    Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
  • D. Presnensky District
    Presnensky District is a central Moscow district known for its business centers, cultural landmarks, and proximity to major government and commercial hubs.
  • E. Galichsky District
    Galichsky District is an administrative and municipal district in Kostroma Oblast, Russia, with the historic town of Galich serving as its center.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43327b048819095fbd93b2105533a completed April 19, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:40 a.m.