Triple

T9860251
Position Surface form Disambiguated ID Type / Status
Subject Nagornaya E239690 entity
Predicate servesDistrict P82 FINISHED
Object Nagorny District E874902 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: Nagorny District | Statement: [Nagornaya, servesDistrict, Nagorny District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagorny District
Context triple: [Nagornaya, servesDistrict, Nagorny District]
  • A. Nagorny District chosen
    Nagorny District is an administrative district (raion) of Moscow, Russia, known for its primarily residential character and location in the city’s Southern Administrative Okrug.
  • B. Mnyovniki District
    Mnyovniki District is an administrative district (raion) of Moscow, Russia, located in the city's Western Administrative Okrug.
  • C. Kuvshinovsky District
    Kuvshinovsky District is an administrative district in Tver Oblast, Russia, encompassing rural localities such as the village of Pryamukhino.
  • D. Ordabasy District
    Ordabasy District is an administrative district in southern Kazakhstan known for its historical significance as a meeting place of Kazakh leaders and its predominantly rural, agricultural character.
  • E. Elbrussky District
    Elbrussky District is an administrative district in the Kabardino-Balkar Republic of Russia, located in the North Caucasus and known for encompassing part of the Mount Elbrus area.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b582cc81909a6d638fe2573c43 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96af89e48819093a6c149ac988391 completed April 10, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:35 p.m.