Triple

T2636732
Position Surface form Disambiguated ID Type / Status
Subject Adolph Fischer E59762 entity
Predicate residence P75 FINISHED
Object Chicago E272290 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 | Statement: [Adolph Fischer, residence, Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago
Context triple: [Adolph Fischer, residence, Chicago]
  • A. City of Chicago chosen
    The City of Chicago is a major U.S. metropolis on Lake Michigan known for its influential architecture, diverse neighborhoods, and role as a cultural, economic, and transportation hub of the Midwest.
  • B. 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.
  • C. Windy City
    Windy City is a common nickname for Wellington, the capital city of New Zealand, renowned for its strong and frequent winds.
  • D. Chicago West
    Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
  • E. Peoria
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e3190081908ea828fe79569cc9 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7ea0608190af4ef9655c612fbb completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:50 p.m.