Triple

T9499572
Position Surface form Disambiguated ID Type / Status
Subject Moscow International Business Center E229100 entity
Predicate hasPart P35 FINISHED
Object Federation Tower E802964 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: Federation Tower | Statement: [Moscow International Business Center, hasPart, Federation Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Federation Tower
Context triple: [Moscow International Business Center, hasPart, Federation Tower]
  • A. Federation Tower chosen
    Federation Tower is a prominent pair of supertall skyscrapers in Moscow’s Moscow International Business Center, known for being among the tallest buildings in Europe.
  • B. Exchange Tower
    Exchange Tower is a prominent office skyscraper in Toronto’s financial district that serves as the headquarters of the Toronto Stock Exchange.
  • C. Central Tower
    Central Tower is the slender, octagonal, spire-topped ventilation and bell tower rising from the middle of the Palace of Westminster in London.
  • D. Atrium Building
    The Atrium Building is a key academic and teaching facility at the University of Suffolk, housing modern learning spaces and student resources.
  • E. Prudential Tower
    Prudential Tower is a prominent skyscraper in Boston, Massachusetts, known for its observation deck and role as a key feature of the city’s skyline.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983a94c48190a7ddf95a953c4ecc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a0a5ec881908bb1643d2bea2c9f completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:56 p.m.