Triple

T7549903
Position Surface form Disambiguated ID Type / Status
Subject Beloselsky-Belozersky family E178503 entity
Predicate hasAncestralOrigin P194 FINISHED
Object Belozersk E364924 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: Belozersk | Statement: [Beloselsky-Belozersky family, hasAncestralOrigin, Belozersk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belozersk
Context triple: [Beloselsky-Belozersky family, hasAncestralOrigin, Belozersk]
  • A. Belozersk chosen
    Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
  • B. Borovsk
    Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
  • C. Kozelsk
    Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • D. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • E. Mozhaisk
    Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b35ba481908e1e5bbf329daa33 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac86982c8190a808ba1b98314829 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:49 p.m.