Triple

T10176390
Position Surface form Disambiguated ID Type / Status
Subject Kuvshinovsky District E235862 entity
Predicate hasRuralLocality P54976 FINISHED
Object village of Pryamukhino E231202 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: village of Pryamukhino | Statement: [Kuvshinovsky District, hasRuralLocality, village of Pryamukhino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: village of Pryamukhino
Context triple: [Kuvshinovsky District, hasRuralLocality, village of Pryamukhino]
  • A. Прямухино chosen
    Прямухино — это небольшое российское сельское поселение, известное как родовое имение семьи Бакуниных и связанное с жизнью анархиста Михаила Бакунина.
  • B. village of Lyubimovka
    The village of Lyubimovka is a small riverside settlement located near the mouth of the Kacha River.
  • C. Devyatkino
    Devyatkino is a metro station serving as the northern terminus of the Red Line (Line 1) of the Saint Petersburg Metro in Russia.
  • D. village of Salaryevo
    The village of Salaryevo is a small rural locality near Moscow, Russia, historically known for giving its name to the nearby Salaryevo metro station.
  • E. Vladykino
    Vladykino is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Vladykino district in the northeast of the city.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd3a2688190bce277bffffcbf8b completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301232e5c8190ad80c4e78681994c completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.