Triple

T6628672
Position Surface form Disambiguated ID Type / Status
Subject House of the Book E149865 entity
Predicate hasAlternativeName P39 FINISHED
Object Dom knigi
Dom knigi is a famous Russian bookstore chain and cultural landmark, best known for its flagship store housed in the historic Singer Building on Nevsky Prospekt in Saint Petersburg.
 E608556 NE FINISHED

How this triple was built (4 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. Pukapuka
    Pukapuka is a remote, culturally distinctive coral atoll in the northern Cook Islands known for its traditional Polynesian lifestyle and unique language dialect.
  • B. Lezgin
    Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
  • C. الكتاب
    الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
  • D. Nerekhta
    Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
  • E. Bokn
    Bokn is a small island municipality in southwestern Norway known for its coastal landscape and location in Rogaland county.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dom knigi
Triple: [House of the Book, hasAlternativeName, Dom knigi]
Generated description
Dom knigi is a famous Russian bookstore chain and cultural landmark, best known for its flagship store housed in the historic Singer Building on Nevsky Prospekt in Saint Petersburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dom knigi
Target entity description: Dom knigi is a famous Russian bookstore chain and cultural landmark, best known for its flagship store housed in the historic Singer Building on Nevsky Prospekt in Saint Petersburg.
  • A. Pukapuka
    Pukapuka is a remote, culturally distinctive coral atoll in the northern Cook Islands known for its traditional Polynesian lifestyle and unique language dialect.
  • B. Lezgin
    Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
  • C. الكتاب
    الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
  • D. Nerekhta
    Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
  • E. Bokn
    Bokn is a small island municipality in southwestern Norway known for its coastal landscape and location in Rogaland county.
  • F. None of above. chosen

Provenance (5 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_69c6eeeaa67881908bef71c5fa61c599 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f09ffdd481909418ae33d1683486 completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f159cbf08190a22d7488584b4580 completed March 27, 2026, 9:06 p.m.
Created at: March 27, 2026, 1:59 p.m.