Triple

T6628671
Position Surface form Disambiguated ID Type / Status
Subject House of the Book E149865 entity
Predicate hasAlternativeName P39 FINISHED
Object Dom Knigi E28053 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: Dom Knigi | Statement: [House of the Book, hasAlternativeName, Dom Knigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dom Knigi
Context triple: [House of the Book, hasAlternativeName, Dom Knigi]
  • A. Dom Knigi bookstore chosen
    Dom Knigi bookstore is a famous historic bookshop in Saint Petersburg, Russia, housed in the ornate Singer House on Nevsky Prospekt and known as a major literary and cultural landmark.
  • B. Lezgin
    Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
  • C. El Brendel
    El Brendel was an American vaudeville and film comedian best known for his faux-Swedish accent and comic relief roles in early Hollywood talkies.
  • D. Rjukan
    Rjukan is a Norwegian industrial town in a deep valley in Telemark, known for its hydroelectric power heritage and World War II heavy water sabotage.
  • E. Korteraar
    Korteraar is a small village in the Dutch province of South Holland, situated within the municipality of Nieuwkoop.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa4a08481908cb5a554f388f32a completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44f5f9c819088cfb4fd87887766 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.