Triple

T9921624
Position Surface form Disambiguated ID Type / Status
Subject Kunde E187808 entity
Predicate hasNotableInstitution P315 FINISHED
Object Kunde Hospital E829112 NE 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: Kunde Hospital | Statement: [Kunde, hasNotableInstitution, Kunde Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunde Hospital
Context triple: [Kunde, hasNotableInstitution, Kunde Hospital]
  • A. Kunde Hospital chosen
    Kunde Hospital is a small, high-altitude medical facility in the Khumbu region of Nepal that provides essential healthcare services to local Sherpa communities and trekkers near Mount Everest.
  • B. Syosset Hospital
    Syosset Hospital is a community medical center located in Syosset, New York, providing a range of inpatient and outpatient healthcare services to the surrounding area.
  • C. Tonna Hospital
    Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
  • D. Tata Main Hospital
    Tata Main Hospital is a major multi-specialty healthcare institution in Jamshedpur, serving the medical needs of the city’s industrial workforce and surrounding communities.
  • E. Juravinski Hospital
    Juravinski Hospital is a major acute care and cancer treatment center in Hamilton, Ontario, known for its oncology services and affiliation with McMaster University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb56abbb88190a21b8b77f1a25b81 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228b8974c81909a603407ebe3df1f completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:42 p.m.