Triple

T28872884
Position Surface form Disambiguated ID Type / Status
Subject FHIR Encounter E732180 entity
Predicate hasStatusValue P129409 FINISHED
Object planned 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: planned | Statement: [FHIR Encounter, hasStatusValue, planned]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStatusValue
Context triple: [FHIR Encounter, hasStatusValue, planned]
  • A. hasStatusIn
    Indicates that an entity holds or is assigned a particular status within a specified context, scope, or system.
  • B. hasStatusBasedOn
    Indicates that an entity’s status is determined or derived from another condition, event, or entity.
  • C. hasExistenceStatus chosen
    Indicates that an entity is associated with a particular state of existence, such as being current, historical, planned, or no longer existing.
  • D. hasStatusInText
    Indicates that a particular status or state is explicitly mentioned or described within a given text.
  • E. hasVariableStatus
    Indicates that an entity’s status is not fixed but can change over time or under different conditions.
  • 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_69f05b06807c81909b4bbd4c20403a2b completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fd783fed9c81909e792702636c4f1f completed May 8, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69fd7788e63c81909de22fdafcfe41c0 completed May 8, 2026, 5:41 a.m.
Created at: April 28, 2026, 7:34 a.m.