Triple

T7280552
Position Surface form Disambiguated ID Type / Status
Subject Dom E163134 entity
Predicate overlooks P1323 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: [Dom, overlooks, Mattertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattertal
Context triple: [Dom, overlooks, 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. Maatkas
    Maatkas is a town and commune located in the mountainous Kabylie region of northern Algeria.
  • C. 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.
  • D. Mook
    Mook is a surname most notably associated with Robby Mook, an American political strategist and campaign manager.
  • E. Mook
    Mook is a village in the Dutch province of Limburg, known for its scenic location along the Maas River near the German border.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.