Triple

T33945821
Position Surface form Disambiguated ID Type / Status
Subject Surgery Department E870286 entity
Predicate hasCarePhase P51981 FINISHED
Object Preoperative 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: Preoperative care | Statement: [Surgery Department, hasCarePhase, Preoperative care]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCarePhase
Context triple: [Surgery Department, hasCarePhase, Preoperative care]
  • A. hasCareModel
    Indicates that one entity uses, follows, or is governed by a particular model or approach to providing care.
  • B. hasChronologicalPhase chosen
    Indicates that something is associated with, or occurs during, a specific chronological phase or time period in a sequence of development or events.
  • C. hasHealthCareCharacteristic
    Indicates that an entity possesses a specific healthcare-related attribute, quality, or feature.
  • D. isPartOfPhase
    Indicates that something belongs to, occurs within, or constitutes a component of a specific phase in a larger process or lifecycle.
  • E. appliesDuringCareerPhase
    Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
  • 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_69f3499b0dd48190b07b4b60babcee02 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff48199b1c8190bb05872f8a4f4673 completed May 9, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69ff4746b1cc8190854f70a124df7d04 completed May 9, 2026, 2:40 p.m.
Created at: May 1, 2026, 1:49 a.m.