Triple

T23129809
Position Surface form Disambiguated ID Type / Status
Subject Rehabilitation and Physical Therapy Services E577135 entity
Predicate mayIncludeSetting P148866 FINISHED
Object Inpatient rehabilitation 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: Inpatient rehabilitation | Statement: [Rehabilitation and Physical Therapy Services, mayIncludeSetting, Inpatient rehabilitation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayIncludeSetting
Context triple: [Rehabilitation and Physical Therapy Services, mayIncludeSetting, Inpatient rehabilitation]
  • A. mayIncludeMode
    Indicates that one entity is allowed to contain or support a particular mode as one of its possible configurations or options.
  • B. mayIncludeFeature
    Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
  • C. mayIncludeRequirement
    Indicates that something can optionally contain or encompass a particular requirement as part of its definition or structure.
  • D. mayAllowUse
    Indicates that one entity has the potential or permission to allow another entity to use or access something.
  • E. mayIncorporate chosen
    Indicates that one entity is allowed or able to include, absorb, or integrate another entity as part of itself or its structure.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8671f48190887e57d5723e49c1 completed April 29, 2026, 4:52 a.m.
PD Predicate disambiguation batch_69ef89f83b108190aaaa1db6221fc163 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4 p.m.