Triple

T38064750
Position Surface form Disambiguated ID Type / Status
Subject North District Hospital E950439 entity
Predicate primaryTeachingFocus P85197 FINISHED
Object clinical training for medical students — 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: clinical training for medical students | Statement: [North District Hospital, primaryTeachingFocus, clinical training for medical students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryTeachingFocus
Context triple: [North District Hospital, primaryTeachingFocus, clinical training for medical students]
  • A. primaryTrainingFocus chosen
    Indicates the main area or aspect that training is chiefly directed toward or concentrated on.
  • B. primaryProgram
    Indicates that one entity serves as the main or principal program associated with another entity, distinguishing it from any secondary or auxiliary programs.
  • C. primarySchool
    Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
  • D. primary
    Indicates that the referenced entity is the main or most important one among a set of related entities.
  • E. primaryEducationalLevel
    Indicates the main or highest level of formal education that an entity has attained or is associated with.
  • 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_69f76f01e63c819093b6012fc974f35a completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:21 p.m.