Triple

T21922804
Position Surface form Disambiguated ID Type / Status
Subject IBM Zürich Research Laboratory E541362 entity
Predicate locatedIn P40 FINISHED
Object Rüschlikon NE NERFINISHED

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: [IBM Zürich Research Laboratory, locatedIn, Rüschlikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rüschlikon
Context triple: [IBM Zürich Research Laboratory, locatedIn, 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. Landiswil
    Landiswil is a small rural municipality in the canton of Bern, Switzerland, characterized by its agricultural landscape and location in the Emmental region.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233d096c8190af0d7cd21879c91b completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:45 p.m.