Triple

T19846484
Position Surface form Disambiguated ID Type / Status
Subject Ruza Urban Settlement E476872 entity
Predicate administrativeCenter P1474 FINISHED
Object Ruza 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: Ruza | Statement: [Ruza Urban Settlement, administrativeCenter, Ruza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruza
Context triple: [Ruza Urban Settlement, administrativeCenter, Ruza]
  • A. Ruza chosen
    Ruza is a town in Moscow Oblast, Russia, known as a local administrative center and recreational area west of Moscow.
  • B. Magarima
    Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
  • C. Ruha
    Ruha is the historical name of the ancient city now known as Şanlıurfa in southeastern Turkey, a long-inhabited center of Mesopotamian and early Christian civilization.
  • D. Takura
    Takura is a rural locality in Queensland, Australia, situated near the community associated with Howard.
  • E. Ruviana
    Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65809da2c8190bb579ef42513b74d completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.