Triple

T38064668
Position Surface form Disambiguated ID Type / Status
Subject United Christian Hospital E950438 entity
Predicate hospitalNetwork P15635 FINISHED
Object Kowloon East Cluster
Kowloon East Cluster is a regional group of public hospitals and healthcare facilities in Hong Kong that provides coordinated medical and specialist services to residents in the eastern Kowloon area.
 E2254699 NE FINISHED

How this triple was built (3 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: Kowloon East Cluster | Statement: [United Christian Hospital, hospitalNetwork, Kowloon East Cluster]
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: Kowloon East Cluster
Triple: [United Christian Hospital, hospitalNetwork, Kowloon East Cluster]
Generated description
Kowloon East Cluster is a regional group of public hospitals and healthcare facilities in Hong Kong that provides coordinated medical and specialist services to residents in the eastern Kowloon area.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hospitalNetwork
Context triple: [United Christian Hospital, hospitalNetwork, Kowloon East Cluster]
  • A. healthSystem chosen
    Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
  • B. hospitalLocation
    Indicates the geographic place or address where a hospital is situated.
  • C. containsHospital
    Indicates that one entity includes or encompasses a hospital within its boundaries or composition.
  • D. hospitalFunction
    Indicates the specific medical or administrative role, service, or operational purpose that a hospital performs.
  • E. majorHospital
    Indicates that a hospital holds a primary or leading status within a healthcare system or region, typically due to its size, capacity, or range of services.
  • F. None of above.

Provenance (6 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_69fc44c7e73c819082d4fc1900fb9632 completed May 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a415d3b7cbc81909b6c9ec621aba318 completed June 28, 2026, 5:43 p.m.
NEDg Description generation batch_6a415de6354c8190b728481c8b9b7544 completed June 28, 2026, 5:46 p.m.
NED2 Entity disambiguation (via description) batch_6a415f4dfcf4819080739f521d4af061 completed June 28, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fbc8efffbc8190a139798ad1880526 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:21 p.m.