Triple

T19217707
Position Surface form Disambiguated ID Type / Status
Subject Fidelidade E480528 entity
Predicate hasSubsidiary P254 FINISHED
Object Multicare 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: Multicare | Statement: [Fidelidade, hasSubsidiary, Multicare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Multicare
Context triple: [Fidelidade, hasSubsidiary, Multicare]
  • A. Multicare chosen
    Multicare is a Portuguese health insurance brand that operates as a subsidiary of Fidelidade, offering a range of medical and wellness coverage products.
  • B. Aetna
    Aetna is a major American health insurance company and managed health care provider known for offering medical, pharmacy, dental, and related benefit plans nationwide.
  • C. Aetna
    Aetna is a small rural community located within Cardston County in southern Alberta, Canada.
  • D. Independence Blue Cross
    Independence Blue Cross is a major health insurance company based in Philadelphia, providing medical coverage and related services to individuals, employers, and Medicare beneficiaries in the region.
  • E. Blue Cross Blue Shield Association
    Blue Cross Blue Shield Association is a federation of independent health insurance companies in the United States that collectively provide health coverage to millions of members nationwide.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3c552c8190b22844e5b7adfc50 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:23 p.m.