Triple

T6255854
Position Surface form Disambiguated ID Type / Status
Subject Brown Line E140162 entity
Predicate location P40 FINISHED
Object Chicago E272290 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: Chicago | Statement: [Brown Line, location, Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago
Context triple: [Brown Line, location, Chicago]
  • A. Chicago
    Chicago is a long-running, Tony Award–winning Broadway musical known for its jazz-influenced score, satirical take on crime and celebrity, and iconic Bob Fosse–style choreography.
  • B. City of Chicago chosen
    The City of Chicago is a major U.S. metropolis on Lake Michigan known for its influential architecture, diverse neighborhoods, and role as a cultural, economic, and transportation hub of the Midwest.
  • C. Windy City
    Windy City is a popular nickname for Chicago, a major U.S. city on Lake Michigan known for its architecture, cultural institutions, and influential history in transportation and industry.
  • D. Windy City
    Windy City is a common nickname for Wellington, the capital city of New Zealand, renowned for its strong and frequent winds.
  • E. Austin, Chicago
    Austin is a large, historically significant West Side neighborhood in Chicago known for its residential character, diverse community, and early 20th-century architecture.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063653910819095f1dc3b90ce77db completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518ccee748190a0e292bc18b552f8 completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:24 p.m.