Triple

T9528100
Position Surface form Disambiguated ID Type / Status
Subject Singapore General Hospital Campus E229813 entity
Predicate hasPart P35 FINISHED
Object SingHealth Academia
SingHealth Academia is a major medical education and research facility in Singapore that supports training, simulation, and academic collaboration for the SingHealth healthcare cluster.
E805969 NE FINISHED

How this triple was built (4 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: SingHealth Academia | Statement: [Singapore General Hospital Campus, hasPart, SingHealth Academia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SingHealth Academia
Context triple: [Singapore General Hospital Campus, hasPart, SingHealth Academia]
  • A. Ministry of Health Singapore
    The Ministry of Health Singapore is the government ministry responsible for overseeing the nation’s healthcare system, public health policies, and regulation of medical services and institutions.
  • B. Centre for Health Analytics
    The Centre for Health Analytics is a specialized unit within Norway’s public health system that develops and applies advanced data and analytical methods to support evidence-based public health decision-making.
  • C. Centre for Collaboration with Learning Health Systems Networks
    The Centre for Collaboration with Learning Health Systems Networks is a unit within the Norwegian Institute of Public Health that focuses on partnering with health system networks to continuously generate, share, and apply evidence for improving healthcare quality and outcomes.
  • D. Lee Kong Chian School of Medicine
    Lee Kong Chian School of Medicine is a Singaporean medical school established through a collaboration between Nanyang Technological University and Imperial College London, known for its innovative, research-driven medical education.
  • E. Centre for Digital Health
    The Centre for Digital Health is a specialized unit within Norway’s public health system that focuses on developing, implementing, and evaluating digital tools and technologies to improve population health and healthcare services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SingHealth Academia
Triple: [Singapore General Hospital Campus, hasPart, SingHealth Academia]
Generated description
SingHealth Academia is a major medical education and research facility in Singapore that supports training, simulation, and academic collaboration for the SingHealth healthcare cluster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SingHealth Academia
Target entity description: SingHealth Academia is a major medical education and research facility in Singapore that supports training, simulation, and academic collaboration for the SingHealth healthcare cluster.
  • A. Ministry of Health Singapore
    The Ministry of Health Singapore is the government ministry responsible for overseeing the nation’s healthcare system, public health policies, and regulation of medical services and institutions.
  • B. Centre for Health Analytics
    The Centre for Health Analytics is a specialized unit within Norway’s public health system that develops and applies advanced data and analytical methods to support evidence-based public health decision-making.
  • C. Centre for Collaboration with Learning Health Systems Networks
    The Centre for Collaboration with Learning Health Systems Networks is a unit within the Norwegian Institute of Public Health that focuses on partnering with health system networks to continuously generate, share, and apply evidence for improving healthcare quality and outcomes.
  • D. Lee Kong Chian School of Medicine
    Lee Kong Chian School of Medicine is a Singaporean medical school established through a collaboration between Nanyang Technological University and Imperial College London, known for its innovative, research-driven medical education.
  • E. Centre for Digital Health
    The Centre for Digital Health is a specialized unit within Norway’s public health system that focuses on developing, implementing, and evaluating digital tools and technologies to improve population health and healthcare services.
  • F. None of above. chosen

Provenance (5 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b0466081908eb637e2185dea37 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c30c6008190b2eff99d74f18070 completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14ea0ae408190bcb375a2540c3221 completed April 4, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69d14f13fcdc8190a227d756f1342f16 completed April 4, 2026, 5:49 p.m.
Created at: March 30, 2026, 8 p.m.