Triple

T16175414
Position Surface form Disambiguated ID Type / Status
Subject government of Tsar Alexis of Russia E392551 entity
Predicate usedInstitution P1933 FINISHED
Object Prikazy system E861970 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: Prikazy system | Statement: [government of Tsar Alexis of Russia, usedInstitution, Prikazy system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prikazy system
Context triple: [government of Tsar Alexis of Russia, usedInstitution, Prikazy system]
  • A. Prikazy system chosen
    The Prikazy system was a network of specialized administrative and judicial offices that formed the backbone of central governance in Muscovite Russia before the Petrine reforms.
  • B. systems command
    A systems command is a major U.S. Navy organizational entity responsible for developing, acquiring, and sustaining specific categories of naval systems and equipment.
  • C. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • D. CP System
    The CP System (Capcom Play System) is Capcom's first standardized 16-bit arcade hardware platform, known for powering many of its classic late-1980s and early-1990s arcade games.
  • E. System1
    System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21ebab54c81908d82dd6a26c406c2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bfc3ac819082596cc533c5faa4 completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.