Triple

T23345587
Position Surface form Disambiguated ID Type / Status
Subject Triemli tram stop E591852 entity
Predicate near P350 FINISHED
Object Triemli city hospital NE NERFINISHED

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: Triemli city hospital | Statement: [Triemli tram stop, near, Triemli city hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Triemli city hospital
Context triple: [Triemli tram stop, near, Triemli city hospital]
  • A. Triemli city hospital chosen
    Triemli city hospital is a major public hospital in Zurich, Switzerland, offering a wide range of medical and emergency services.
  • 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. Kunde Hospital
    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.
  • D. Tonna Hospital
    Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
  • E. Kuks Hospital
    Kuks Hospital is a historic Baroque complex in the village of Kuks in East Bohemia, Czech Republic, originally built as a spa and charitable hospital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983697408190b31817174ed4e77b completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:19 p.m.