Triple

T3085987
Position Surface form Disambiguated ID Type / Status
Subject Ohio Street Beach E64373 entity
Predicate partOf P40 FINISHED
Object Chicago lakefront E1905 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 lakefront | Statement: [Ohio Street Beach, partOf, Chicago lakefront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago lakefront
Context triple: [Ohio Street Beach, partOf, Chicago lakefront]
  • A. Chicago Lakefront chosen
    Chicago Lakefront is the scenic shoreline area along Lake Michigan in Chicago, known for its parks, beaches, trails, and iconic skyline views.
  • B. Chicago Basin
    Chicago Basin is a remote alpine basin in Colorado renowned for its dramatic scenery, popular backpacking routes, and access to several notable San Juan Mountain fourteeners.
  • C. Lakeview, Chicago
    Lakeview, Chicago is a vibrant North Side neighborhood known for its bustling commercial corridors, nightlife, and proximity to Wrigley Field.
  • D. Chicago Lawn
    Chicago Lawn is a residential neighborhood on the Southwest Side of Chicago known for its diverse population, historic bungalows, and proximity to Marquette Park.
  • E. Downtown Chicago area
    The Downtown Chicago area is the city’s central business and cultural district, encompassing iconic skyscrapers, major shopping and entertainment corridors, and several distinct neighborhoods along Lake Michigan.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1eac5548190bee60ea8262c65a8 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89e6f5c8190993794e2c9977ee6 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.