Triple

T34095953
Position Surface form Disambiguated ID Type / Status
Subject Northern Navajo Medical Center E874428 entity
Predicate primaryLanguageServices P1252 FINISHED
Object English 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: English | Statement: [Northern Navajo Medical Center, primaryLanguageServices, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageServices
Context triple: [Northern Navajo Medical Center, primaryLanguageServices, English]
  • A. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • B. primaryLanguageBinding
    Indicates that one language or language-specific implementation is designated as the main or default binding for a given resource, interface, or functionality.
  • C. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • D. laterLanguageOfServices
    Indicates that one language is used for services at a later time or stage than another language.
  • E. primaryLanguageArea
    Indicates that a specified region or area is one where a particular language is predominantly used or officially recognized as primary.
  • 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_69f349a735208190a1dbfb1c2a121059 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f963908190846d232f386fd98f completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:53 a.m.