Triple

T13191615
Position Surface form Disambiguated ID Type / Status
Subject Biblioteka Imeni Lenina E314001 entity
Predicate partOfTransferHubWith P87149 FINISHED
Object Borovitskaya station E1102016 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: Borovitskaya station | Statement: [Biblioteka Imeni Lenina, partOfTransferHubWith, Borovitskaya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borovitskaya station
Context triple: [Biblioteka Imeni Lenina, partOfTransferHubWith, Borovitskaya station]
  • A. Borovitskaya station chosen
    Borovitskaya station is a Moscow Metro station located in the city center, serving as part of a major interchange hub near the Kremlin.
  • B. Timiryazevskaya station
    Timiryazevskaya station is a Moscow Metro station that serves as a key stop and namesake on the Serpukhovsko–Timiryazevskaya Line.
  • C. 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.
  • D. Taganskaya station
    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.
  • E. Nadezhda station
    Nadezhda station is a metro station on the Sofia Metro system in Sofia, Bulgaria, serving the Nadezhda residential district.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f71c5388190a6e122e14384efd7 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9c41908190b789765861bd9924 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 9:15 p.m.