Triple

T14495811
Position Surface form Disambiguated ID Type / Status
Subject Pushkinskaya station E359494 entity
Predicate hasTransferTo P17241 FINISHED
Object Chekhovskaya station E302508 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: Chekhovskaya station | Statement: [Pushkinskaya station, hasTransferTo, Chekhovskaya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chekhovskaya station
Context triple: [Pushkinskaya station, hasTransferTo, Chekhovskaya station]
  • A. Proletarskaya station
    Proletarskaya station is a metro station on the Saint Petersburg Metro system in Russia, serving passengers on Line 3.
  • B. Krasnoselskaya station chosen
    Krasnoselskaya station is a Moscow Metro station known for its early Soviet-era architecture and location on the system’s first metro line.
  • C. Mayakovskaya station
    Mayakovskaya station is an underground metro station in central Saint Petersburg, Russia, known for its transfer connection to Ploshchad Vosstaniya and its location near Nevsky Prospekt.
  • D. Timiryazevskaya station
    Timiryazevskaya station is a Moscow Metro station that serves as a key stop and namesake on the Serpukhovsko–Timiryazevskaya Line.
  • E. Vasileostrovskaya station
    Vasileostrovskaya station is an underground metro station in Saint Petersburg, Russia, serving the Vasileostrovsky District on the city’s Green Line.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de93109cb081909a6e846db23a4635 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b3da8f08190b70b08532dfc22ba completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:21 a.m.