Triple

T8033657
Position Surface form Disambiguated ID Type / Status
Subject canton of Obwalden E187048 entity
Predicate containsMunicipality P852 FINISHED
Object Kerns
Kerns is a Swiss municipality in the canton of Obwalden known for its rural alpine landscape and traditional Central Swiss character.
 E708501 NE FINISHED

How this triple was built (4 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: Kerns | Statement: [canton of Obwalden, containsMunicipality, Kerns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kerns
Context triple: [canton of Obwalden, containsMunicipality, Kerns]
  • A. Kerns
    Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
  • B. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • C. Kern
    Kern is a surname most famously associated with Jerome Kern, the pioneering American composer of early 20th-century musical theatre and popular song.
  • D. Kerzers
    Kerzers is a municipality in the canton of Fribourg in western Switzerland, known for its bilingual character and proximity to the Papiliorama butterfly and tropical gardens.
  • E. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kerns
Triple: [canton of Obwalden, containsMunicipality, Kerns]
Generated description
Kerns is a Swiss municipality in the canton of Obwalden known for its rural alpine landscape and traditional Central Swiss character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kerns
Target entity description: Kerns is a Swiss municipality in the canton of Obwalden known for its rural alpine landscape and traditional Central Swiss character.
  • A. Kerns
    Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
  • B. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • C. Kern
    Kern is a surname most famously associated with Jerome Kern, the pioneering American composer of early 20th-century musical theatre and popular song.
  • D. Kerzers
    Kerzers is a municipality in the canton of Fribourg in western Switzerland, known for its bilingual character and proximity to the Papiliorama butterfly and tropical gardens.
  • E. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • F. None of above. chosen

Provenance (5 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_69cc56ede1ac8190afd8a050e9a25851 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58abd96c8190ab9eeaece67d5408 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cc2f71081909cb7c0c245368edb completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:22 p.m.