Triple

T4845882
Position Surface form Disambiguated ID Type / Status
Subject Swin Cash E108288 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Chicago Sky E66017 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 Sky | Statement: [Swin Cash, memberOfSportsTeam, Chicago Sky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Sky
Context triple: [Swin Cash, memberOfSportsTeam, Chicago Sky]
  • A. Chicago Sky chosen
    The Chicago Sky are a professional women's basketball team based in Chicago that competes in the WNBA and has featured star players such as Elena Delle Donne.
  • B. New York Skyliners
    The New York Skyliners were a short-lived professional American football team that played home games at Shea Stadium in New York City during the 1960s.
  • C. Chicago Stags
    The Chicago Stags were a professional basketball team based in Chicago that competed in the late 1940s and early NBA era before folding in 1950.
  • D. Kansas City Wiz
    Kansas City Wiz was the original name of the Major League Soccer club now known as Sporting Kansas City.
  • E. Dallas Wings
    The Dallas Wings are a professional women's basketball team in the WNBA based in the Dallas–Fort Worth area.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d19784c81908e256ea23889192b completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cd6dbcc8190b802eeb6d74fd37d completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.