Triple

T10192024
Position Surface form Disambiguated ID Type / Status
Subject Novogireyevo E238058 entity
Predicate adjacentStation P5707 FINISHED
Object Novokosino E229092 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: Novokosino | Statement: [Novogireyevo, adjacentStation, Novokosino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novokosino
Context triple: [Novogireyevo, adjacentStation, Novokosino]
  • A. Novokosino chosen
    Novokosino is a Moscow Metro station serving as the eastern terminus of the Kalininsko–Solntsevskaya Line in the Novokosino District of Moscow, Russia.
  • B. Khoroshevskaya
    Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
  • C. Kolomenskaya
    Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
  • D. Mikhaylovskoye
    Mikhaylovskoye is a rural estate and museum complex in Russia best known as the family estate and place of exile of the poet Alexander Pushkin.
  • E. Kozelsk
    Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317ca2cf481909cf715ef9248be3c completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:13 p.m.