Triple

T508474
Position Surface form Disambiguated ID Type / Status
Subject Lurie Garden E10552 entity
Predicate hasSetting P3538 FINISHED
Object downtown Chicago E31883 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: downtown Chicago | Statement: [Lurie Garden, hasSetting, downtown Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Chicago
Context triple: [Lurie Garden, hasSetting, downtown Chicago]
  • A. Chicago Loop chosen
    Chicago Loop is the central business district and historic downtown core of Chicago, known for its skyscrapers, theaters, parks, and major cultural attractions.
  • B. Chicago West
    Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
  • C. North Side of Chicago
    The North Side of Chicago is a densely populated, largely residential and commercial area of the city known for its lakefront neighborhoods, cultural attractions, and vibrant nightlife.
  • D. West Side, Chicago
    West Side, Chicago is a major region of Chicago known for its diverse neighborhoods, rich cultural history, and significant roles in the city’s social and economic life.
  • E. River North, Chicago
    River North, Chicago is a vibrant downtown neighborhood known for its art galleries, nightlife, dining scene, and converted warehouse lofts just north of the Loop.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f162f3888190b057ad04e40a30e2 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad012ce1148190b1051239a44171b1 completed March 8, 2026, 4:55 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.