Triple

T20323840
Position Surface form Disambiguated ID Type / Status
Subject Daniel Risch E492280 entity
Predicate placeOfBirth P1 FINISHED
Object Grabs, Switzerland 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: Grabs, Switzerland | Statement: [Daniel Risch, placeOfBirth, Grabs, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grabs, Switzerland
Context triple: [Daniel Risch, placeOfBirth, Grabs, Switzerland]
  • A. Grabs, Switzerland chosen
    Grabs, Switzerland is a small municipality in the canton of St. Gallen, known as the birthplace of the contemporary video artist Pipilotti Rist.
  • B. Ragatz, Switzerland
    Ragatz, Switzerland is a historic spa town in the canton of St. Gallen, renowned for its thermal baths and alpine setting.
  • C. Lucerne, Switzerland
    Lucerne, Switzerland is a picturesque city in central Switzerland known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and surrounding mountain scenery.
  • D. Brittnau, Switzerland
    Brittnau, Switzerland is a small municipality in the canton of Aargau, known as the birthplace of the Swiss healer and artist Emma Kunz.
  • E. Valais, Switzerland
    Valais, Switzerland is a mountainous canton in southwestern Switzerland known for its Alpine peaks, glaciers, vineyards, and the upper Rhône Valley.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778e59508190bfd7a3ce44d56a93 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:21 a.m.