Triple

T9542992
Position Surface form Disambiguated ID Type / Status
Subject Taganskaya–Zhdanovskaya section E230202 entity
Predicate namedAfter P63 FINISHED
Object Taganskaya station E830310 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: Taganskaya station | Statement: [Taganskaya–Zhdanovskaya section, namedAfter, Taganskaya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taganskaya station
Context triple: [Taganskaya–Zhdanovskaya section, namedAfter, Taganskaya station]
  • A. Taganskaya station chosen
    Taganskaya station is a Moscow Metro station known for its distinctive post-war Stalinist architecture and role as a key interchange hub in the city’s subway network.
  • B. Timiryazevskaya station
    Timiryazevskaya station is a Moscow Metro station that serves as a key stop and namesake on the Serpukhovsko–Timiryazevskaya Line.
  • C. Kashirskaya station
    Kashirskaya station is a major Moscow Metro interchange station located in the southern part of Moscow, serving as a junction between multiple lines.
  • D. Krasnoselskaya station
    Krasnoselskaya station is a Moscow Metro station known for its early Soviet-era architecture and location on the system’s first metro line.
  • E. Kachinskaya station
    Kachinskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d25743261881909b207405d5eaa4cd completed April 5, 2026, 12:36 p.m.
Created at: March 30, 2026, 8:01 p.m.