Triple

T16156470
Position Surface form Disambiguated ID Type / Status
Subject Dietikon E392055 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Spreitenbach E1134183 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: Spreitenbach | Statement: [Dietikon, hasNeighboringMunicipality, Spreitenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spreitenbach
Context triple: [Dietikon, hasNeighboringMunicipality, Spreitenbach]
  • A. Spreitenbach chosen
    Spreitenbach is a municipality in the canton of Aargau in northern Switzerland, known for its large shopping centers and proximity to the city of Zurich.
  • B. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • C. Sachseln
    Sachseln is a municipality in the Swiss canton of Obwalden, known as the home and pilgrimage site associated with the Swiss patron saint Nicholas of Flüe.
  • D. Seengen
    Seengen is a Swiss municipality in the canton of Aargau, known for its scenic location in the Seetal valley and proximity to Lake Hallwil.
  • E. Weggis
    Weggis is a picturesque lakeside resort town in central Switzerland, known for its mild climate, scenic views of the Alps, and tourism on the shores of Lake Lucerne.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5aa57c8190a9d89dd57e30318f completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007833960819088334e10258a9d72 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:01 a.m.