Triple

T22036095
Position Surface form Disambiguated ID Type / Status
Subject Khorol E544211 entity
Predicate isAdministrativeCenterOf P1474 FINISHED
Object Khorol Raion 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: Khorol Raion | Statement: [Khorol, isAdministrativeCenterOf, Khorol Raion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khorol Raion
Context triple: [Khorol, isAdministrativeCenterOf, Khorol Raion]
  • A. Olkhonsky District
    Olkhonsky District is an administrative district in Irkutsk Oblast, Russia, encompassing Olkhon Island and surrounding areas near Lake Baikal.
  • B. Sayán District
    Sayán District is an administrative district located within Huaura Province in the Lima Region of Peru, known for its agricultural valleys and warm climate.
  • C. Chingeltei District
    Chingeltei District is one of the central administrative districts of Ulaanbaatar, Mongolia, encompassing parts of the city’s historic and residential areas.
  • D. Khorol Uyezd chosen
    Khorol Uyezd was an administrative district within the Russian Empire, located in what is now central Ukraine.
  • E. Bayangol District
    Bayangol District is one of the central administrative districts of Ulaanbaatar, the capital city of Mongolia, known for its residential areas and commercial centers.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f1f95c8190a324c84313cd91ee completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.