Triple

T1731649
Position Surface form Disambiguated ID Type / Status
Subject Asylum Hill E37823 entity
Predicate hasInstitution P186 FINISHED
Object Aetna E37421 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: Aetna | Statement: [Asylum Hill, hasInstitution, Aetna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aetna
Context triple: [Asylum Hill, hasInstitution, Aetna]
  • A. Aetna chosen
    Aetna is a major American health insurance company and managed health care provider known for offering medical, pharmacy, dental, and related benefit plans nationwide.
  • B. Humana
    Humana is a major American health insurance and managed care company known for offering Medicare, Medicaid, and commercial health plans nationwide.
  • C. Blue Cross and Blue Shield of Texas
    Blue Cross and Blue Shield of Texas is a major health insurance company providing a wide range of medical coverage and related services to individuals, families, and employers across Texas.
  • D. American Family Insurance
    American Family Insurance is a major U.S.-based mutual insurance company offering auto, home, life, and other insurance products across multiple states.
  • E. Wellmark Blue Cross Blue Shield
    Wellmark Blue Cross Blue Shield is a major not-for-profit health insurance company serving Iowa and South Dakota as part of the national Blue Cross Blue Shield network.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63804cd48190aef5e0f231600e58 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf498848819085cd7faffd86cd77 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:30 p.m.