Triple

T18099350
Position Surface form Disambiguated ID Type / Status
Subject H. R. Giger E433173 entity
Predicate museumLocation P3831 FINISHED
Object Gruyères 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: Gruyères | Statement: [H. R. Giger, museumLocation, Gruyères]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gruyères
Context triple: [H. R. Giger, museumLocation, Gruyères]
  • A. Gruyères chosen
    Gruyères is a picturesque medieval town in the Swiss canton of Fribourg, renowned for its historic architecture, hilltop setting, and namesake cheese.
  • B. Emmental
    Emmental is a rural region in the canton of Bern, Switzerland, known for its rolling hills, dairy farming, and as the origin of Emmental cheese.
  • C. Vacherin Fribourgeois cheese
    Vacherin Fribourgeois cheese is a semi-soft Swiss cow’s milk cheese from the canton of Fribourg, prized for its smooth, melting texture and use in traditional fondues.
  • D. Emmental cheese
    Emmental cheese is a Swiss cow's milk cheese famous for its mild, nutty flavor and characteristic large holes formed during fermentation.
  • E. Toggenburger cheese
    Toggenburger cheese is a traditional Swiss cheese from the Toggenburg region, known for its aromatic, full-bodied flavor and firm, sliceable texture.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb521448190b97d2b2aa7e4d7e6 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.