Triple

T12857148
Position Surface form Disambiguated ID Type / Status
Subject Gottlieb Duttweiler Institute E307485 entity
Predicate headquartersLocation P62 FINISHED
Object Rüschlikon E815895 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: Rüschlikon | Statement: [Gottlieb Duttweiler Institute, headquartersLocation, Rüschlikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rüschlikon
Context triple: [Gottlieb Duttweiler Institute, headquartersLocation, Rüschlikon]
  • A. Rüschlikon chosen
    Rüschlikon is a wealthy lakeside municipality on the western shore of Lake Zurich in the canton of Zurich, Switzerland.
  • B. Dübendorf
    Dübendorf is a municipality in the canton of Zurich, Switzerland, known for its proximity to Zurich and its historic military and aviation facilities.
  • C. 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.
  • D. Wetzikon
    Wetzikon is a municipality and regional center in the canton of Zürich in Switzerland, known for its mix of residential areas, industry, and proximity to Lake Pfäffikon.
  • E. Opfikon
    Opfikon is a municipality in the canton of Zürich in Switzerland, known for its proximity to Zurich Airport and its role as a residential and commercial suburb of the city of Zürich.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970231ce48190a4eabc4b8c24a3ff completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5c044388190b0832e44c59a8537 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 5:37 p.m.