Triple

T1330878
Position Surface form Disambiguated ID Type / Status
Subject Beyeler Foundation Museum E28640 entity
Predicate locatedIn P40 FINISHED
Object Riehen E134855 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: Riehen | Statement: [Beyeler Foundation Museum, locatedIn, Riehen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riehen
Context triple: [Beyeler Foundation Museum, locatedIn, Riehen]
  • A. Riehen chosen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • B. Heidenheim an der Brenz
    Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
  • C. Stetten
    Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
  • D. Zuchwil
    Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
  • E. Rosenheim
    Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c449bc8190acb6603a0ddac7fd completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e62007081908dc993492e23dda5 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:55 p.m.