Triple

T6769526
Position Surface form Disambiguated ID Type / Status
Subject Гостиный двор E155008 entity
Predicate hasConnection P8776 FINISHED
Object станция Невский проспект E252466 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: станция Невский проспект | Statement: [Гостиный двор, hasConnection, станция Невский проспект]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: станция Невский проспект
Context triple: [Гостиный двор, hasConnection, станция Невский проспект]
  • A. Bulvar Rokossovskogo station
    Bulvar Rokossovskogo station is a Moscow Metro station serving as the northeastern terminus of the Sokolnicheskaya Line.
  • B. Nevsky Prospekt metro station chosen
    Nevsky Prospekt metro station is a major Saint Petersburg Metro station and key transfer hub located in the historic center of the city.
  • C. Preobrazhenskaya Ploshchad station
    Preobrazhenskaya Ploshchad station is a Moscow Metro station serving the Preobrazhenskoye District in the northeastern part of the city.
  • D. Prokshino station
    Prokshino station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
  • E. Leningradskaya Station
    Leningradskaya Station is a Russian research base in Antarctica used for scientific studies in fields such as glaciology, meteorology, and geophysics.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d232d1f08190bc30c0f24f28c475 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:12 p.m.