Triple

T144634
Position Surface form Disambiguated ID Type / Status
Subject Magnificent Mile E2927 entity
Predicate alsoKnownAs P39 FINISHED
Object The Mag 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: The Mag Mile | Statement: [Magnificent Mile, alsoKnownAs, The Mag Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mag Mile
Context triple: [Magnificent Mile, alsoKnownAs, The Mag 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 central public square and traffic circle in downtown Hodgenville, Kentucky, featuring monuments that commemorate the birthplace and legacy of President Abraham Lincoln.
  • C. Wrigley Square
    Wrigley Square is a landscaped plaza in Chicago’s Millennium Park best known for its classical-style Millennium Monument and open gathering space.
  • 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. Chicago Lakefront
    Chicago Lakefront is the scenic shoreline area along Lake Michigan in Chicago, known for its parks, beaches, trails, and iconic skyline views.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35e9e2b8c8190913c083e841c98d8 completed Feb. 28, 2026, 9:31 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.