Triple

T9983715
Position Surface form Disambiguated ID Type / Status
Subject Miracle Mile E196513 entity
Predicate title P38 FINISHED
Object Miracle Mile E77216 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: Miracle Mile | Statement: [Miracle Mile, title, Miracle Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miracle Mile
Context triple: [Miracle Mile, title, Miracle Mile]
  • A. Miracle Mile chosen
    Miracle Mile is a historic, museum-rich commercial and cultural district in Los Angeles known for its Art Deco architecture and role as a major urban thoroughfare.
  • B. Miracle Mile
    Miracle Mile is the famous 1954 one-mile race in Vancouver where Roger Bannister and John Landy, both recent sub-four-minute milers, dramatically faced off in one of athletics’ most iconic showdowns.
  • C. Miracle Mile
    Miracle Mile is a 1988 apocalyptic thriller film set in Los Angeles, following a man who learns of an imminent nuclear strike and races against time to save the woman he loves.
  • D. Miracle Mile
    Miracle Mile is a prominent shopping and dining district in Coral Gables, Florida, known for its upscale boutiques, restaurants, and vibrant urban atmosphere.
  • E. The Avenue
    The Avenue is an upmarket shopping and dining destination located within the Spinningfields district of Manchester, England.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257f3c59481909b90896be0f3a870 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.