Triple

T16875034
Position Surface form Disambiguated ID Type / Status
Subject Seattle Children’s Hospital E421276 entity
Predicate serviceArea P82 FINISHED
Object Idaho E28328 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: Idaho | Statement: [Seattle Children’s Hospital, serviceArea, Idaho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idaho
Context triple: [Seattle Children’s Hospital, serviceArea, Idaho]
  • A. Idaho chosen
    Idaho is a mountainous, landlocked state in the northwestern United States known for its vast wilderness areas, outdoor recreation, and significant agricultural production, especially potatoes.
  • B. Utah
    Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
  • C. Montana
    Montana is a small city in northwestern Bulgaria known as a regional administrative and economic center near the foothills of the Balkan Mountains.
  • D. Montana
    Montana was a former Swiss alpine resort municipality that later became part of the larger resort area of Crans-Montana in the canton of Valais.
  • E. Montana
    Montana is a large, sparsely populated U.S. state in the northern Rocky Mountains known for its expansive wilderness, national parks like Glacier, and wide-open "Big Sky" landscapes.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f5290481909e0fd0af30935fcd completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a929b081909d3a5a680ae93a78 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:29 a.m.