Triple

T20717469
Position Surface form Disambiguated ID Type / Status
Subject Lyudinovo E509209 entity
Predicate hasNameInLanguage P15 FINISHED
Object Людиново 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: Людиново | Statement: [Lyudinovo, hasNameInLanguage, Людиново]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Людиново
Context triple: [Lyudinovo, hasNameInLanguage, Людиново]
  • A. Lyudinovo chosen
    Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
  • B. Veldemanovo
    Veldemanovo is a rural locality historically notable as the birthplace of Patriarch Nikon of Moscow, a major 17th-century reformer of the Russian Orthodox Church.
  • C. Khrabrovo
    Khrabrovo is a locality in Russia’s Kaliningrad region best known for hosting Khrabrovo Airport, the main air gateway to Kaliningrad.
  • D. Demänovka
    Demänovka is a river in the Liptov region of northern Slovakia, known for flowing through the Demänovská Valley in the Low Tatras.
  • E. Melnikovo
    Melnikovo is a rural settlement located within the Priozersky District of Leningrad Oblast in northwestern Russia.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d2c57481909840945ffd3b0cc3 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:17 p.m.