Triple

T20183928
Position Surface form Disambiguated ID Type / Status
Subject Pfäffikon ZH E492803 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Hittnau 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: Hittnau | Statement: [Pfäffikon ZH, neighboringMunicipality, Hittnau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hittnau
Context triple: [Pfäffikon ZH, neighboringMunicipality, Hittnau]
  • A. Hittnau chosen
    Hittnau is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to lakes and rolling countryside.
  • B. Hundwil
    Hundwil is a small Swiss municipality known for its rural character and traditional Appenzell culture in northeastern Switzerland.
  • C. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • D. Leutwil
    Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
  • E. Bäriswil
    Bäriswil is a small municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.