Triple

T5562909
Position Surface form Disambiguated ID Type / Status
Subject Allalinhorn E145807 entity
Predicate near P350 FINISHED
Object Mattertal E409610 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: Mattertal | Statement: [Allalinhorn, near, Mattertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattertal
Context triple: [Allalinhorn, near, Mattertal]
  • A. Mattertal chosen
    Mattertal is a high alpine valley in the Swiss canton of Valais, known for its dramatic peaks including the Matterhorn and its popular mountaineering and ski resorts.
  • B. Spandrell
    Spandrell is a central character in Aldous Huxley’s novel "Point Counter Point," known as a cynical, intellectually ruthless figure whose nihilism and manipulative behavior drive much of the book’s moral and philosophical tension.
  • C. Mook
    Mook is a village in the Dutch province of Limburg, known for its scenic location along the Maas River near the German border.
  • D. Mook
    Mook is a surname most notably associated with Robby Mook, an American political strategist and campaign manager.
  • E. Seltsame Materie
    Seltsame Materie is a short story collection by Hungarian-German author Terézia Mora that explores themes of identity, alienation, and post-socialist Eastern Europe in a distinctive, experimental prose style.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201ba0e88190acd5bfaa5973f2d8 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059ebd4008190ba410fac13900fe0 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:36 p.m.