Triple

T22316652
Position Surface form Disambiguated ID Type / Status
Subject Muota E551661 entity
Predicate valley P650 FINISHED
Object Muotatal 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: Muotatal | Statement: [Muota, valley, Muotatal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muotatal
Context triple: [Muota, valley, Muotatal]
  • 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. Motal
    Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
  • D. Moudon
    Moudon is a historic town and former district capital in the canton of Vaud, Switzerland, known for its medieval old town and location in the Broye valley.
  • E. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157535eb48190adbefbb619cb5fcd completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.