Triple

T13635352
Position Surface form Disambiguated ID Type / Status
Subject Greater Zürich Area E325833 entity
Predicate includesMunicipality P14658 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: [Greater Zürich Area, includesMunicipality, Horgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horgen
Context triple: [Greater Zürich Area, includesMunicipality, 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. 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.
  • C. 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.
  • D. Riehen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • E. Zollikon
    Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.