Triple

T19347797
Position Surface form Disambiguated ID Type / Status
Subject Yefremov E483928 entity
Predicate partOf P40 FINISHED
Object Yefremovsky 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: Yefremovsky District | Statement: [Yefremov, partOf, Yefremovsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yefremovsky District
Context triple: [Yefremov, partOf, Yefremovsky District]
  • A. Yefremovsky District chosen
    Yefremovsky District is an administrative and municipal district in Tula Oblast, Russia, centered around the town of Yefremov.
  • B. Obruchevsky District
    Obruchevsky District is a residential and educational neighborhood in Moscow, Russia, known for its scientific institutes and proximity to major universities.
  • C. Yurinsky District
    Yurinsky District is an administrative and municipal district in the Mari El Republic of Russia, characterized by its rural settlements and small population.
  • D. Veshnyaki District
    Veshnyaki District is a residential administrative district in the Eastern Administrative Okrug of Moscow, Russia, known for its large housing estates and proximity to major transport routes.
  • E. Lazarevsky District
    Lazarevsky District is a coastal administrative district within the city of Sochi, Russia, known for its Black Sea resorts and mountainous landscapes.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185c95248190b1e5bb8626489767 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:34 p.m.