Triple

T23091716
Position Surface form Disambiguated ID Type / Status
Subject St. Daniel Monastery E575769 entity
Predicate hasAlternativeName P39 FINISHED
Object Danilovsky Monastery NE NERFINISHED

How this triple was built (3 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: Danilovsky Monastery | Statement: [St. Daniel Monastery, hasAlternativeName, Danilovsky Monastery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danilovsky Monastery
Context triple: [St. Daniel Monastery, hasAlternativeName, Danilovsky Monastery]
  • A. Alexeyevsky Monastery
    Alexeyevsky Monastery is a historic Russian Orthodox monastic complex located in the town of Uglich, known for its traditional architecture and religious significance.
  • B. Antoniev Monastery
    Antoniev Monastery is a medieval Russian Orthodox monastic complex in Veliky Novgorod, notable for its ancient churches, frescoes, and role in the religious and cultural history of the region.
  • C. Voskresensky Monastery
    Voskresensky Monastery, also known as the New Jerusalem Monastery, is a major 17th-century Russian Orthodox monastic complex near Moscow modeled on the holy sites of Jerusalem.
  • D. Rizopolozhensky Monastery
    Rizopolozhensky Monastery is a historic Russian Orthodox monastic complex in Suzdal, known for its ancient churches and traditional white-stone architecture.
  • E. Znamensky Monastery
    Znamensky Monastery is a historic Russian Orthodox monastic complex in Irkutsk, known for its traditional Siberian ecclesiastical architecture and religious significance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danilovsky Monastery
Target entity description: Danilovsky Monastery is a historic Russian Orthodox monastery in Moscow, regarded as one of the city's oldest monastic institutions and an important religious and cultural landmark.
  • A. Alexeyevsky Monastery
    Alexeyevsky Monastery is a historic Russian Orthodox monastic complex located in the town of Uglich, known for its traditional architecture and religious significance.
  • B. Antoniev Monastery
    Antoniev Monastery is a medieval Russian Orthodox monastic complex in Veliky Novgorod, notable for its ancient churches, frescoes, and role in the religious and cultural history of the region.
  • C. Voskresensky Monastery
    Voskresensky Monastery, also known as the New Jerusalem Monastery, is a major 17th-century Russian Orthodox monastic complex near Moscow modeled on the holy sites of Jerusalem.
  • D. Rizopolozhensky Monastery
    Rizopolozhensky Monastery is a historic Russian Orthodox monastic complex in Suzdal, known for its ancient churches and traditional white-stone architecture.
  • E. Znamensky Monastery
    Znamensky Monastery is a historic Russian Orthodox monastic complex in Irkutsk, known for its traditional Siberian ecclesiastical architecture and religious significance.
  • F. None of above. chosen

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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18daa68d48190842e9cb6de31ea79 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.