Triple

T17057812
Position Surface form Disambiguated ID Type / Status
Subject Sergiyevo-Posadsky District E413870 entity
Predicate hasRuralLocality P54976 FINISHED
Object Radonezh E1251868 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: Radonezh | Statement: [Sergiyevo-Posadsky District, hasRuralLocality, Radonezh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radonezh
Context triple: [Sergiyevo-Posadsky District, hasRuralLocality, Radonezh]
  • A. Radonezh chosen
    Radonezh is a historic medieval village in Russia best known as the early home of Saint Sergius of Radonezh, one of the country’s most revered Orthodox monastic figures.
  • B. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • C. Bogoroditsk
    Bogoroditsk is a small historic town in western Russia known for its 18th-century palace-and-park ensemble and its role as a local industrial and cultural center.
  • D. Bogorodskoye
    Bogorodskoye is a rural locality in Russia that serves as the main administrative hub of Ulchsky District in Khabarovsk Krai.
  • E. Bogorodskoye
    Bogorodskoye is a rural locality in Russia that serves as one of the settlements within Nikolaevsky District.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7b553c81908ec70ba0d0988710 completed April 18, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014823d0a8819095491aef9b258971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:34 a.m.