Triple

T1414567
Position Surface form Disambiguated ID Type / Status
Subject Chicago Loop E31883 entity
Predicate contains P35 FINISHED
Object Daley Plaza E76176 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: Daley Plaza | Statement: [Chicago Loop, contains, Daley Plaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daley Plaza
Context triple: [Chicago Loop, contains, Daley Plaza]
  • A. Daley Plaza chosen
    Daley Plaza is a prominent public square in downtown Chicago known for its modernist architecture and iconic Picasso sculpture.
  • B. Grant Park
    Grant Park is a large historic public park in downtown Chicago known for its museums, gardens, and major cultural events.
  • C. Grant Park
    Grant Park is a primarily residential neighborhood in Portland, Oregon, known for its tree-lined streets, historic homes, and the park that inspired Beverly Cleary’s Klickitat Street setting.
  • D. Lincoln Square
    Lincoln Square is a major mixed-use shopping, dining, and entertainment complex located in downtown Bellevue, Washington.
  • E. 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.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e5f9d08190861206934cd71fd8 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293cb8f0819085bea7914abf0683 completed March 8, 2026, 7:46 a.m.
Created at: March 1, 2026, 7:59 p.m.