Triple

T13801344
Position Surface form Disambiguated ID Type / Status
Subject SCL Tigers E331646 entity
Predicate region P40 FINISHED
Object Emmental E452062 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: Emmental | Statement: [SCL Tigers, region, Emmental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmental
Context triple: [SCL Tigers, region, Emmental]
  • A. Emmental chosen
    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.
  • B. Gruyères
    Gruyères is a picturesque medieval town in the Swiss canton of Fribourg, renowned for its historic architecture, hilltop setting, and namesake 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 valley
    Emmental valley is a picturesque region in the Swiss canton of Bern, renowned for its rolling green hills, traditional farms, and as the birthplace of Emmental cheese.
  • 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 (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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0893a20819081d4001b8dbc9c36 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.