Triple

T1414574
Position Surface form Disambiguated ID Type / Status
Subject Chicago Loop E31883 entity
Predicate contains P35 FINISHED
Object Michigan Avenue E32738 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: Michigan Avenue | Statement: [Chicago Loop, contains, Michigan Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michigan Avenue
Context triple: [Chicago Loop, contains, Michigan Avenue]
  • A. South Michigan Avenue
    South Michigan Avenue is a major thoroughfare in downtown Chicago known for its cultural landmarks, historic architecture, and proximity to Grant Park.
  • B. Chicago Avenue
    Chicago Avenue is a major east–west thoroughfare in Chicago known for connecting diverse neighborhoods and serving as a key commercial and transit corridor.
  • C. North Michigan Avenue chosen
    North Michigan Avenue is a major commercial thoroughfare in Chicago renowned for its upscale shopping, dining, and landmark architecture.
  • D. Illinois Avenue
    Illinois Avenue is a major thoroughfare in the Dallas, Texas area that provides key local and regional connectivity for surrounding communities.
  • E. LaSalle Street
    LaSalle Street is a major north–south thoroughfare in Chicago known as the historic center of the city’s financial district, lined with prominent banks, exchanges, and landmark skyscrapers.
  • 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_69ad1c97ba748190a227457bcb87a733 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 7:59 p.m.