Triple

T17868124
Position Surface form Disambiguated ID Type / Status
Subject Eich E446758 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Sempach 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: Sempach | Statement: [Eich, hasNeighboringMunicipality, Sempach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sempach
Context triple: [Eich, hasNeighboringMunicipality, Sempach]
  • A. Sempach chosen
    Sempach is a historic Swiss town in the canton of Lucerne, known for the nearby Battle of Sempach and its picturesque lakeside setting.
  • B. Giswil
    Giswil is a Swiss municipality in the canton of Obwalden, known for its scenic alpine landscape and location along key routes through central Switzerland.
  • C. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • D. Winterthurer
    Winterthurer is the German term for an inhabitant or native of the Swiss city of Winterthur.
  • E. Regensdorf
    Regensdorf is a municipality in the canton of Zürich in northern Switzerland, known as a suburban residential and industrial area near the city of Zürich.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.