Triple

T19491888
Position Surface form Disambiguated ID Type / Status
Subject Wilderswil E487670 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Saxeten 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: Saxeten | Statement: [Wilderswil, hasNeighboringMunicipality, Saxeten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saxeten
Context triple: [Wilderswil, hasNeighboringMunicipality, Saxeten]
  • A. Saxeten chosen
    Saxeten is a small Swiss mountain village and municipality in the canton of Bern, known for its alpine scenery and outdoor activities.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348e01b88190a513d0e256161fcd completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.