Triple

T4392913
Position Surface form Disambiguated ID Type / Status
Subject Bern-Mittelland administrative district E99407 entity
Predicate contains P35 FINISHED
Object Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
E448024 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: Neuenegg | Statement: [Bern-Mittelland administrative district, contains, Neuenegg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuenegg
Context triple: [Bern-Mittelland administrative district, contains, Neuenegg]
  • A. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • B. Muttenz
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • C. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • D. Bönigen
    Bönigen is a Swiss village in the canton of Bern, known for its scenic location on the shore of Lake Brienz near Interlaken.
  • E. Worb
    Worb is a municipality in the canton of Bern in Switzerland, known for its historic village center and proximity to the city of Bern.
  • 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: Neuenegg
Triple: [Bern-Mittelland administrative district, contains, Neuenegg]
Generated description
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neuenegg
Target entity description: Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
  • A. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • B. Muttenz
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • C. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • D. Bönigen
    Bönigen is a Swiss village in the canton of Bern, known for its scenic location on the shore of Lake Brienz near Interlaken.
  • E. Worb
    Worb is a municipality in the canton of Bern in Switzerland, known for its historic village center and proximity to the city of Bern.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f7bfd4c8190adf670a5a11c8182 completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd71aecafc8190b0815d0308bbcaa9 completed March 20, 2026, 4:11 p.m.
NED2 Entity disambiguation (via description) batch_69bd75f39d788190b9e394050c55f44d completed March 20, 2026, 4:29 p.m.
Created at: March 12, 2026, 11:19 p.m.