Triple

T8033658
Position Surface form Disambiguated ID Type / Status
Subject canton of Obwalden E187048 entity
Predicate containsMunicipality P852 FINISHED
Object Sachseln E631862 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: Sachseln | Statement: [canton of Obwalden, containsMunicipality, Sachseln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sachseln
Context triple: [canton of Obwalden, containsMunicipality, Sachseln]
  • A. Sachseln chosen
    Sachseln is a municipality in the Swiss canton of Obwalden, known as the home and pilgrimage site associated with the Swiss patron saint Nicholas of Flüe.
  • B. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • C. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • D. Göschenen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • E. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef3e6848190913c4b1bef506aae completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe4211bc8190a784c19f11f17a39 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:22 p.m.