Triple

T23199049
Position Surface form Disambiguated ID Type / Status
Subject Advocate Health Care E579956 entity
Predicate hasPart P35 FINISHED
Object Advocate Christ Medical Center NE NERFINISHED

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: Advocate Christ Medical Center | Statement: [Advocate Health Care, hasPart, Advocate Christ Medical Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Advocate Christ Medical Center
Context triple: [Advocate Health Care, hasPart, Advocate Christ Medical Center]
  • A. Advocate Christ Medical Center chosen
    Advocate Christ Medical Center is a major teaching and tertiary care hospital serving the Chicago metropolitan area with comprehensive medical and trauma services.
  • B. Christ Medical Center
    Christ Medical Center is a major not-for-profit teaching hospital and Level I trauma center located in Oak Lawn, Illinois, serving the Chicago metropolitan area.
  • C. Catholic Medical Center
    Catholic Medical Center is a major acute-care hospital and healthcare provider serving the Manchester, New Hampshire region.
  • D. St. Mary’s Medical Center
    St. Mary’s Medical Center is a major regional hospital and healthcare provider located in Huntington, West Virginia.
  • E. Sacred Heart Hospital
    Sacred Heart Hospital is the fictional teaching hospital where most of the events and character interactions in the medical comedy series "Scrubs" take place.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907835448190aa4fc234d15527c3 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.