Triple

T26569288
Position Surface form Disambiguated ID Type / Status
Subject Cardiac Wing E666776 entity
Predicate hasPatientCareFocus P44704 FINISHED
Object inpatient care 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 care | Statement: [Cardiac Wing, hasPatientCareFocus, inpatient care]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPatientCareFocus
Context triple: [Cardiac Wing, hasPatientCareFocus, inpatient care]
  • A. focusesOnMedicalCare chosen
    Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
  • B. hasPastoralCareFocus
    Indicates that the subject is oriented toward providing spiritual, emotional, or pastoral support and guidance to others.
  • C. hasPatient
    Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
  • D. providesCareDuring
    Indicates that one entity delivers care, assistance, or support to another entity throughout a specific period or event.
  • E. hasRehabilitationFocus
    Indicates that an entity is oriented toward or primarily concerned with rehabilitation activities, goals, or outcomes.
  • 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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
Created at: April 27, 2026, 1:57 a.m.