Triple

T16442202
Position Surface form Disambiguated ID Type / Status
Subject Austin, Chicago E399331 entity
Predicate hasMajorStreet P30026 FINISHED
Object Madison Street — NE NERFINISHED

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: [Austin, Chicago, hasMajorStreet, Madison Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madison Street
Context triple: [Austin, Chicago, hasMajorStreet, 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 Ann Arbor, Michigan, running alongside the University of Michigan Law School’s historic Law Quadrangle.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba91dc48190bc35db60f63d36d3 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:10 a.m.