Triple

T12446694
Position Surface form Disambiguated ID Type / Status
Subject Pohvistnevo E297417 entity
Predicate borderedBy P224 FINISHED
Object Pohvistnevsky District E1119365 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: Pohvistnevsky District | Statement: [Pohvistnevo, borderedBy, Pohvistnevsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pohvistnevsky District
Context triple: [Pohvistnevo, borderedBy, Pohvistnevsky District]
  • A. Pohvistnevsky District chosen
    Pohvistnevsky District is an administrative district (raion) in Samara Oblast, Russia, centered around the town of Pohvistnevo.
  • B. Pytalovsky District
    Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
  • C. Opochetsky District
    Opochetsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Opochka.
  • D. Agulsky District
    Agulsky District is an administrative and municipal district in the Republic of Dagestan, Russia, known for its mountainous terrain and predominantly Agul ethnic population.
  • E. Slantsevsky District
    Slantsevsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its industrial towns and proximity to the Estonian border.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249a972081909b30302865396eb1 completed May 8, 2026, 5:59 p.m.
Created at: April 8, 2026, 9:56 p.m.