Triple

T19173445
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg Moskovsky railway station E469382 entity
Predicate connectsWith P37 FINISHED
Object Vologda 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: Vologda | Statement: [Saint Petersburg Moskovsky railway station, connectsWith, Vologda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vologda
Context triple: [Saint Petersburg Moskovsky railway station, connectsWith, Vologda]
  • A. Vologda chosen
    Vologda is a historic city in northwestern Russia known for its well-preserved wooden architecture, ancient monasteries, and traditional lace-making.
  • B. 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.
  • C. Vologda Oblast
    Vologda Oblast is a federal subject of Russia known for its historic cities, traditional wooden architecture, and significant timber and metallurgy industries in the country’s northwest.
  • D. Ryazhsk
    Ryazhsk is a historic town in Ryazan Oblast, Russia, known as a former local administrative center dating back to the Russian Empire.
  • E. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • 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_69e5f16544948190bd10ca7804dd27a5 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.