Triple

T7851115
Position Surface form Disambiguated ID Type / Status
Subject canton of Uri E182054 entity
Predicate hasMunicipalities P747 FINISHED
Object Hospental E574804 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: Hospental | Statement: [canton of Uri, hasMunicipalities, Hospental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hospental
Context triple: [canton of Uri, hasMunicipalities, Hospental]
  • A. Hospental chosen
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • B. Tonna Hospital
    Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
  • C. 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.
  • D. Taborian Hospital
    Taborian Hospital was a historically significant African American–run medical facility in Mound Bayou, Mississippi, that provided critical healthcare services to Black communities during the era of segregation.
  • E. Backus Hospital
    Backus Hospital is a regional acute care medical center serving the community of Norwich and eastern Connecticut.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:50 p.m.