Triple

T12446236
Position Surface form Disambiguated ID Type / Status
Subject Chicago street grid E297406 entity
Predicate hasCenter P35 FINISHED
Object Madison Street E124491 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: Madison Street | Statement: [Chicago street grid, hasCenter, Madison Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madison Street
Context triple: [Chicago street grid, hasCenter, Madison Street]
  • A. Madison Street
    Madison Street is a major east–west thoroughfare in downtown Seattle, Washington, running from the waterfront up through the city’s central business district.
  • B. Madison Street chosen
    Madison Street is a major east–west thoroughfare in downtown Chicago, Illinois, serving as a key dividing line for the city’s street numbering system.
  • C. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • D. Monroe Street
    Monroe Street is a major thoroughfare in Tallahassee, Florida, running through the heart of the city’s downtown and serving as a key commercial and civic corridor.
  • E. Keefer Street
    Keefer Street is a notable thoroughfare in Vancouver’s Chinatown, known for its historic buildings, cultural landmarks, and vibrant local businesses.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3ab3c8881909da34dc94a1deff2 completed May 9, 2026, 11:30 p.m.
Created at: April 8, 2026, 9:56 p.m.