Triple

T17845168
Position Surface form Disambiguated ID Type / Status
Subject Shinanomachi Station E445638 entity
Predicate nearbyFacility P350 FINISHED
Object Juntendo University-related medical facilities (area)
Juntendo University-related medical facilities (area) is a medical district centered around hospitals and clinics affiliated with Juntendo University, providing comprehensive healthcare and clinical services.
E1290790 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: Juntendo University-related medical facilities (area) | Statement: [Shinanomachi Station, nearbyFacility, Juntendo University-related medical facilities (area)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juntendo University-related medical facilities (area)
Context triple: [Shinanomachi Station, nearbyFacility, Juntendo University-related medical facilities (area)]
  • A. Juntendo University Hospital
    Juntendo University Hospital is a major teaching and research medical center in Japan known for providing advanced clinical care and training healthcare professionals.
  • B. Juntendo Tokyo Koto Geriatric Medical Center
    Juntendo Tokyo Koto Geriatric Medical Center is a specialized hospital in Tokyo focused on medical care and research for elderly patients, operated under Juntendo University’s medical network.
  • C. Juntendo University Shizuoka Hospital
    Juntendo University Shizuoka Hospital is a major teaching and medical facility in Shizuoka Prefecture, Japan, operated by Juntendo University’s medical faculty.
  • D. Jikei University Katsushika Medical Center
    Jikei University Katsushika Medical Center is a teaching and research hospital in Tokyo affiliated with Jikei University School of Medicine, providing comprehensive medical care and clinical education.
  • E. Juntendo University
    Juntendo University is a prominent private medical and health sciences university in Tokyo, Japan, known for its long history and affiliated hospitals.
  • 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: Juntendo University-related medical facilities (area)
Triple: [Shinanomachi Station, nearbyFacility, Juntendo University-related medical facilities (area)]
Generated description
Juntendo University-related medical facilities (area) is a medical district centered around hospitals and clinics affiliated with Juntendo University, providing comprehensive healthcare and clinical services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Juntendo University-related medical facilities (area)
Target entity description: Juntendo University-related medical facilities (area) is a medical district centered around hospitals and clinics affiliated with Juntendo University, providing comprehensive healthcare and clinical services.
  • A. Juntendo University Hospital
    Juntendo University Hospital is a major teaching and research medical center in Japan known for providing advanced clinical care and training healthcare professionals.
  • B. Juntendo Tokyo Koto Geriatric Medical Center
    Juntendo Tokyo Koto Geriatric Medical Center is a specialized hospital in Tokyo focused on medical care and research for elderly patients, operated under Juntendo University’s medical network.
  • C. Juntendo University Shizuoka Hospital
    Juntendo University Shizuoka Hospital is a major teaching and medical facility in Shizuoka Prefecture, Japan, operated by Juntendo University’s medical faculty.
  • D. Jikei University Katsushika Medical Center
    Jikei University Katsushika Medical Center is a teaching and research hospital in Tokyo affiliated with Jikei University School of Medicine, providing comprehensive medical care and clinical education.
  • E. Juntendo University
    Juntendo University is a prominent private medical and health sciences university in Tokyo, Japan, known for its long history and affiliated hospitals.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffa4c648190a88a4b0733493d91 completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030700bc908190a4c3d995a0674875 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307cca7888190905abe3c1c317c1a completed May 12, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a03084521d88190ab60f3cbdfdb0869 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 10:16 a.m.