Triple

T19173447
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg Moskovsky railway station E469382 entity
Predicate connectsWith P37 FINISHED
Object Cherepovets 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: Cherepovets | Statement: [Saint Petersburg Moskovsky railway station, connectsWith, Cherepovets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cherepovets
Context triple: [Saint Petersburg Moskovsky railway station, connectsWith, Cherepovets]
  • A. Cherepovets chosen
    Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
  • B. Koporye
    Koporye is a historic village in Leningrad Oblast, Russia, best known for its medieval fortress and strategic location near the Gulf of Finland.
  • C. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • D. Volokolamsk
    Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
  • E. Solikamsk
    Solikamsk is a historic industrial city in Russia known for its major salt and chemical industries and its location in the northern part of Perm Krai.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16613dc8190987c2d79dc616e40 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.