Triple

T17358768
Position Surface form Disambiguated ID Type / Status
Subject Jackson station (Red Line) E422013 entity
Predicate hasEntranceNear P3449 FINISHED
Object Van Buren 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: Van Buren Street | Statement: [Jackson station (Red Line), hasEntranceNear, Van Buren Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Van Buren Street
Context triple: [Jackson station (Red Line), hasEntranceNear, Van Buren Street]
  • A. Van Buren Street chosen
    Van Buren Street is a major east–west thoroughfare in Chicago, Illinois, that runs through the city's downtown Loop and serves as an important urban and transit corridor.
  • B. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • C. Monroe Street
    Monroe Street is a major thoroughfare in Ann Arbor, Michigan, running alongside the University of Michigan Law School’s historic Law Quadrangle.
  • 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. Bayard Street
    Bayard Street is a prominent thoroughfare in Manhattan’s Chinatown known for its dense concentration of Chinese restaurants, shops, and cultural landmarks.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4a37788190b330b7207aa424b6 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.