Triple

T19340566
Position Surface form Disambiguated ID Type / Status
Subject Zweisimmen E483743 entity
Predicate locatedIn P40 FINISHED
Object Simmental 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: Simmental | Statement: [Zweisimmen, locatedIn, Simmental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simmental
Context triple: [Zweisimmen, locatedIn, Simmental]
  • A. Simmental chosen
    Simmental is a picturesque alpine valley in the Bernese Oberland region of Switzerland, known for its traditional farming villages, scenic landscapes, and namesake Simmental cattle breed.
  • B. Hereford cattle
    Hereford cattle are a widely recognized British beef breed known for their distinctive red bodies with white faces, hardiness, and efficient meat production.
  • C. Charolais
    Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
  • D. Galloway cattle
    Galloway cattle are a hardy, polled beef cattle breed from Scotland, known for their thick, wavy coats and ability to thrive in harsh climates.
  • E. Holstein
    Holstein is a historical region in what is now northern Germany, known for its role in the duchies of Schleswig and Holstein and its later incorporation into the state of Schleswig-Holstein.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61856c0948190a3166b3bf3810e43 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:33 p.m.