Triple

T16208520
Position Surface form Disambiguated ID Type / Status
Subject Mörel E393390 entity
Predicate mergedIntoMunicipality P77 FINISHED
Object Mörel-Filet E1200146 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: Mörel-Filet | Statement: [Mörel, mergedIntoMunicipality, Mörel-Filet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mörel-Filet
Context triple: [Mörel, mergedIntoMunicipality, Mörel-Filet]
  • A. Mörel-Filet chosen
    Mörel-Filet is a municipality in the canton of Valais in southwestern Switzerland, formed by the merger of the former municipalities of Mörel and Filet.
  • B. Boudin
    Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
  • C. Frisange
    Frisange is a small commune and town in southwestern Luxembourg, situated within the country’s historic Minett (Red Rock) region.
  • D. Cailles
    Cailles is a Filipino surname most notably associated with Juan Cailles, a prominent general and political figure during the Philippine Revolution and early American colonial period.
  • E. Shnitzel
    Shnitzel is a gruff, rock-skinned chef and dishwasher in the animated series "Chowder," known for his limited vocabulary and deadpan demeanor.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22710ef2c8190a8d7b9fb1666816c completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed13b40819096de333872225730 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.