Triple

T1313706
Position Surface form Disambiguated ID Type / Status
Subject Singer House E28051 entity
Predicate localName P657 FINISHED
Object Дом книги E149865 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: Дом книги | Statement: [Singer House, localName, Дом книги]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Дом книги
Context triple: [Singer House, localName, Дом книги]
  • A. House of the Book chosen
    House of the Book is the former name of the historic Singer House, an iconic early 20th-century Art Nouveau building in Saint Petersburg, Russia.
  • B. La Lecture
    La Lecture is an early 20th-century painting by Pablo Picasso that depicts a contemplative female figure and reflects his evolving style during his transition from Cubism toward a more classical, figurative approach.
  • C. The Magic
    The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
  • D. La Ciudad Blanca
    La Ciudad Blanca is the popular nickname of Arequipa, a major Peruvian city famed for its white volcanic-stone architecture and historic colonial center.
  • E. Unua Libro
    Unua Libro is the 1887 booklet by L. L. Zamenhof that first introduced and described the constructed international language Esperanto.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1585d3081909ca0221c23de63ba completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf2964048190950723487c7cf707 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:55 p.m.