Triple

T2094059
Position Surface form Disambiguated ID Type / Status
Subject North Michigan Avenue E32738 entity
Predicate hasLandmark P105 FINISHED
Object Park Tower E24543 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: Park Tower | Statement: [North Michigan Avenue, hasLandmark, Park Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park Tower
Context triple: [North Michigan Avenue, hasLandmark, Park Tower]
  • A. Chase Tower
    Chase Tower is a prominent postmodern skyscraper and office building that dominates the skyline of downtown Dallas, Texas.
  • B. Water Tower Place chosen
    Water Tower Place is a major mixed-use skyscraper and shopping complex in Chicago, known for its prominent location along the city’s Magnificent Mile.
  • C. Hilton Tower
    Hilton Tower is the common name for Beetham Tower, a prominent mixed-use skyscraper and landmark on Manchester’s skyline.
  • D. U.S. Bank Tower
    U.S. Bank Tower is a prominent skyscraper in Los Angeles known for its distinctive silhouette and status as one of the tallest buildings on the West Coast of the United States.
  • E. Wallberg Building
    The Wallberg Building is an academic facility at the University of Toronto, primarily associated with engineering and related disciplines.
  • 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.