Triple

T593388
Position Surface form Disambiguated ID Type / Status
Subject Loop E17325 entity
Predicate hasLandmark P105 FINISHED
Object Millennium Park E407 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: Millennium Park | Statement: [Loop, hasLandmark, Millennium Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millennium Park
Context triple: [Loop, hasLandmark, Millennium Park]
  • A. Millennium Park chosen
    Millennium Park is a major public park and cultural attraction in downtown Chicago known for its modern art installations, architecture, and outdoor events.
  • B. Jackson Park
    Jackson Park is a large historic public park on Chicago’s South Side, known for its role in the 1893 World’s Columbian Exposition and its extensive lakefront, lagoons, and recreational facilities.
  • C. Grant Park
    Grant Park is a large historic public park in downtown Chicago known for its museums, gardens, and major cultural events.
  • D. Marquette Park
    Marquette Park is a historic lakeside public park in Gary, Indiana, known for its beaches, dunes, and recreational facilities along Lake Michigan.
  • E. Washington Park, Chicago
    Washington Park, Chicago is a large historic public park and surrounding neighborhood on the South Side known for its expansive green space, cultural institutions, and role in Chicago’s park and boulevard system.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bbcaf5c81908de4e27096d3da13 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c389eb708190911de8a28e55ab7f completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:33 p.m.