Triple

T15300147
Position Surface form Disambiguated ID Type / Status
Subject Novosibirsk-Glavny E365763 entity
Predicate connectsTo P845 FINISHED
Object Novokuznetsk E527378 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: Novokuznetsk | Statement: [Novosibirsk-Glavny, connectsTo, Novokuznetsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novokuznetsk
Context triple: [Novosibirsk-Glavny, connectsTo, Novokuznetsk]
  • A. Novokuznetsk chosen
    Novokuznetsk is a major industrial city in southwestern Siberia, Russia, known for its large metallurgical and coal-mining industries.
  • B. Novokuznetskaya
    Novokuznetskaya is a Moscow Metro station known for its distinctive Stalinist architecture and richly decorated interiors.
  • C. Krasnoyarsk
    Krasnoyarsk is a large industrial and cultural city in central Russia, situated on the Yenisei River and known as one of the key urban centers of Siberia.
  • D. Nizhnekamsk
    Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
  • E. Barnaul
    Barnaul is a significant industrial and cultural city in southwestern Siberia, Russia, located near the Ob River and serving as a key regional center.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cea6bb88190a6d6f7c55daa4677 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:15 a.m.