Triple

T2254807
Position Surface form Disambiguated ID Type / Status
Subject SeatGeek Stadium E49696 entity
Predicate hasTenant P3277 FINISHED
Object Chicago Bliss E130488 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 Bliss | Statement: [SeatGeek Stadium, hasTenant, Chicago Bliss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Bliss
Context triple: [SeatGeek Stadium, hasTenant, Chicago Bliss]
  • A. Chicago Bliss chosen
    Chicago Bliss was a women's American football team that competed in the Legends Football League and played its home games at Toyota Park in Bridgeview, Illinois.
  • B. Chicago Card
    Chicago Card was a contactless smart fare card once used for public transit payments in the Chicago area before being phased out in favor of the Ventra system.
  • C. Chicago West
    Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
  • D. Chicago Place
    Chicago Place is a mixed-use high-rise on Chicago’s Magnificent Mile that formerly housed an urban shopping mall and now primarily contains office and residential space.
  • E. Windy City
    Windy City is a popular nickname for Chicago, a major U.S. city on Lake Michigan known for its architecture, cultural institutions, and influential history in transportation and industry.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc121af78819085b2e601d2f9bcdf completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1fc8808190aebc534ea5adb534 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.