Triple

T523360
Position Surface form Disambiguated ID Type / Status
Subject Saint West E10865 entity
Predicate sibling P363 FINISHED
Object Chicago West E55186 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 West | Statement: [Saint West, sibling, Chicago West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago West
Context triple: [Saint West, sibling, Chicago West]
  • A. Chicago West chosen
    Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
  • B. West Chicago, Illinois
    West Chicago, Illinois is a suburban city in DuPage County known for its historic railroad roots and diverse residential community west of Chicago.
  • C. West Side, Chicago
    West Side, Chicago is a major region of Chicago known for its diverse neighborhoods, rich cultural history, and significant roles in the city’s social and economic life.
  • D. Berwyn, Illinois
    Berwyn, Illinois is a suburban city just west of Chicago known for its historic bungalows, diverse community, and vibrant arts and dining scene.
  • E. Calumet City, Illinois
    Calumet City, Illinois is a suburban city in the Chicago metropolitan area known historically for its industrial roots and proximity to the Indiana state line.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b4f01881908b408357ff113308 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a260888190b89e90c1da061733 completed March 4, 2026, 3:14 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.