Triple

T12114367
Position Surface form Disambiguated ID Type / Status
Subject EvergreenHealth E288516 entity
Predicate alsoKnownAs P39 FINISHED
Object Evergreen Health E288516 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: Evergreen Health | Statement: [EvergreenHealth, alsoKnownAs, Evergreen Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evergreen Health
Context triple: [EvergreenHealth, alsoKnownAs, Evergreen Health]
  • A. EvergreenHealth chosen
    EvergreenHealth is a regional healthcare system based in Kirkland, Washington, known for operating hospitals and medical clinics that serve communities across the greater Seattle area.
  • B. EvergreenHealth Kirkland
    EvergreenHealth Kirkland is a major community hospital and medical center serving Kirkland and the greater Eastside region of the Seattle metropolitan area.
  • C. Fairview Health Services
    Fairview Health Services is a nonprofit health care system based in Minnesota that operates hospitals, clinics, and related medical facilities across the region.
  • D. Evergreen Group
    Evergreen Group is a Taiwan-based global conglomerate best known for its shipping, aviation, and logistics businesses.
  • E. Grand View Health
    Grand View Health is a community healthcare system and hospital serving residents of Montgomery County, Pennsylvania and the surrounding region.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67f9c30819089305d5d42210c34 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.