Triple

T9582189
Position Surface form Disambiguated ID Type / Status
Subject Kilchberg, Switzerland E231198 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Thalwil E415333 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: Thalwil | Statement: [Kilchberg, Switzerland, hasNeighboringMunicipality, Thalwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thalwil
Context triple: [Kilchberg, Switzerland, hasNeighboringMunicipality, Thalwil]
  • A. Thalwil chosen
    Thalwil is a municipality in the canton of Zurich, Switzerland, known as a residential and commuter town situated on the western shore of Lake Zurich.
  • B. Liestal
    Liestal is a historic Swiss town in northwestern Switzerland that serves as the administrative and cultural center of the canton of Basel-Landschaft.
  • C. Bülach
    Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
  • D. Ramiswil
    Ramiswil is a small rural municipality in the canton of Solothurn in northwestern Switzerland, known for its scenic Jura landscape and agricultural character.
  • E. Grenchen
    Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cd59008190888eb11f00f61994 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d29999e9248190b2f1900fa7ad3da5 completed April 5, 2026, 5:19 p.m.
Created at: March 30, 2026, 8:05 p.m.