Triple

T2094046
Position Surface form Disambiguated ID Type / Status
Subject North Michigan Avenue E32738 entity
Predicate hasSection P35 FINISHED
Object Magnificent Mile E2927 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: Magnificent Mile | Statement: [North Michigan Avenue, hasSection, Magnificent Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnificent Mile
Context triple: [North Michigan Avenue, hasSection, Magnificent Mile]
  • A. Magnificent Mile chosen
    The Magnificent Mile is a famous upscale shopping and dining district along Michigan Avenue in downtown Chicago, known for its luxury retailers, historic architecture, and vibrant urban atmosphere.
  • B. Lincoln Square
    Lincoln Square is a major mixed-use shopping, dining, and entertainment complex located in downtown Bellevue, Washington.
  • C. Lincoln Square
    Lincoln Square is a central public square and traffic circle in downtown Hodgenville, Kentucky, featuring monuments that commemorate the birthplace and legacy of President Abraham Lincoln.
  • D. Museum Mile
    Museum Mile is a renowned stretch of New York City's Fifth Avenue famous for its dense concentration of major art and cultural museums.
  • E. Museum Mile
    Museum Mile is a prominent cultural district in Bonn, Germany, known for its dense concentration of major museums and art institutions.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba98c32081908a243bc7088a1510 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5189bc088190b142dde85cad6676 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.