Triple

T15792206
Position Surface form Disambiguated ID Type / Status
Subject Fex Valley E382886 entity
Predicate hasVillage P4011 FINISHED
Object Muot Selvas E951080 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: Muot Selvas | Statement: [Fex Valley, hasVillage, Muot Selvas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muot Selvas
Context triple: [Fex Valley, hasVillage, Muot Selvas]
  • A. Muotathal chosen
    Muotathal is a Swiss municipality in the canton of Schwyz, known for its long valley setting in the Alps and traditional rural character.
  • B. Muota
    Muota is a river in central Switzerland that flows through the canton of Schwyz before joining the Reuss.
  • C. Moberg
    Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
  • D. Selvin
    Selvin is a surname most notably associated with Ben Selvin, an American bandleader and record producer prominent in the early 20th century.
  • E. Selke
    The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d9623081908496cdfdf86a078a completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90ab23048190a6d976c9a3143647 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.