Triple

T103379
Position Surface form Disambiguated ID Type / Status
Subject Department of Surgery, Duke University E2087 entity
Predicate providesServiceTo P82 FINISHED
Object patients in North Carolina LITERAL 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: patients in North Carolina | Statement: [Department of Surgery, Duke University, providesServiceTo, patients in North Carolina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesServiceTo
Context triple: [Department of Surgery, Duke University, providesServiceTo, patients in North Carolina]
  • A. servedByService
    Indicates that something is provided, handled, or fulfilled by a particular service.
  • B. sectorServed
    Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
  • C. service
    Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
  • D. servesAtThePleasureOf
    Indicates that one entity holds a position or role that can be terminated at any time by another entity, typically at the discretion or will of that other entity.
  • E. areaServed chosen
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • F. None of above.

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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a258e0b11c8190b7b5cf3c354c47ce completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a2563a6ff48190bec582fb2f99b7af completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.