Triple

T17115761
Position Surface form Disambiguated ID Type / Status
Subject Thalwil E415333 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Horgen E350844 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: Horgen | Statement: [Thalwil, neighboringMunicipality, Horgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horgen
Context triple: [Thalwil, neighboringMunicipality, Horgen]
  • A. Horgen chosen
    Horgen is a municipality in the canton of Zurich, Switzerland, situated on the western shore of Lake Zurich and known as a residential and commuter town near the city of Zurich.
  • B. Kriens
    Kriens is a Swiss town and municipality located near Lucerne, known as a residential and industrial suburb at the foot of Mount Pilatus.
  • C. Sursee
    Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
  • D. Torgler
    Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
  • E. Uster
    Uster is a Swiss town and municipality in the canton of Zürich, known as a regional center near Lake Greifen with a mix of urban amenities and surrounding natural landscapes.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80528588190a877dcc6d6d3a392 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014145f7988190803d5c5e4f2705b0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.