Triple

T13953094
Position Surface form Disambiguated ID Type / Status
Subject Krasny Kut E335582 entity
Predicate governingBody P46 FINISHED
Object Krasny Kut town administration E335582 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: Krasny Kut town administration | Statement: [Krasny Kut, governingBody, Krasny Kut town administration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasny Kut town administration
Context triple: [Krasny Kut, governingBody, Krasny Kut town administration]
  • A. Krasny Kut chosen
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • B. Krasny
    Krasny is a town situated along the Sozh River, known for its regional administrative and cultural significance.
  • C. Kraslava
    Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
  • D. Kalnovik municipality
    Kalnovik municipality is a small, rural administrative area in southeastern Bosnia and Herzegovina, located in a mountainous region of Republika Srpska.
  • E. Pavel Banya Municipality
    Pavel Banya Municipality is an administrative region in central Bulgaria known for its spa town of Pavel Banya and its location within the Rose Valley.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1cea88081908c37836447410b97 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.