Triple

T18500934
Position Surface form Disambiguated ID Type / Status
Subject Emmental E452062 entity
Predicate containsSettlement P847 FINISHED
Object Wyssachen
Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
E1336974 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: Wyssachen | Statement: [Emmental, containsSettlement, Wyssachen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyssachen
Context triple: [Emmental, containsSettlement, Wyssachen]
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Oschwand
    Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
  • C. Herrenschwand
    Herrenschwand is a small village in the Black Forest region of Baden-Württemberg, Germany, known as a tranquil mountain resort area within the municipality of Todtnau.
  • D. Sihlwald
    Sihlwald is a large forest and nature reserve near Zurich, Switzerland, known for its protected, near-natural woodland and recreational hiking trails.
  • E. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • 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: Wyssachen
Triple: [Emmental, containsSettlement, Wyssachen]
Generated description
Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wyssachen
Target entity description: Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Oschwand
    Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
  • C. Herrenschwand
    Herrenschwand is a small village in the Black Forest region of Baden-Württemberg, Germany, known as a tranquil mountain resort area within the municipality of Todtnau.
  • D. Sihlwald
    Sihlwald is a large forest and nature reserve near Zurich, Switzerland, known for its protected, near-natural woodland and recreational hiking trails.
  • E. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05233d017481908ada76dd4b2c888d completed May 14, 2026, 1:19 a.m.
NEDg Description generation batch_6a0524db7c3c81909c1448bdd5eb40e0 completed May 14, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0525523e8481908a230329a9b36a52 completed May 14, 2026, 1:28 a.m.
Created at: April 10, 2026, 11:36 a.m.