Triple

T9819100
Position Surface form Disambiguated ID Type / Status
Subject Tverskoy Boulevard E238481 entity
Predicate partOf P40 FINISHED
Object Boulevard Ring E222350 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: Boulevard Ring | Statement: [Tverskoy Boulevard, partOf, Boulevard Ring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boulevard Ring
Context triple: [Tverskoy Boulevard, partOf, Boulevard Ring]
  • A. Boulevard Ring chosen
    The Boulevard Ring is a semi-circular chain of boulevards encircling central Moscow, known as a major historical and cultural thoroughfare.
  • B. Lucent Boulevard
    Lucent Boulevard is a primary thoroughfare in Highlands Ranch, Colorado, serving as a key connector for local neighborhoods, businesses, and regional traffic.
  • C. Wilder Avenue
    Wilder Avenue is a major residential and commuter street running through the Makiki neighborhood of Honolulu, Hawaii.
  • D. Boulevard Berlin
    Boulevard Berlin is a large modern shopping mall located on Schloßstraße in Berlin’s Steglitz district, featuring a wide range of retail stores, dining options, and services.
  • E. Aurora Boulevard
    Aurora Boulevard is a major thoroughfare in Metro Manila, Philippines, that runs through several cities including Quezon City and serves as a key commuter and commercial corridor.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f74e348190be8e4394ae6fe3fe completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc74de14819083299a549f04b2b1 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.