Triple

T18500929
Position Surface form Disambiguated ID Type / Status
Subject Emmental E452062 entity
Predicate containsSettlement P847 FINISHED
Object Hellsau
Hellsau is a small rural municipality in the Emmental region of the canton of Bern in Switzerland.
E1327585 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: Hellsau | Statement: [Emmental, containsSettlement, Hellsau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellsau
Context triple: [Emmental, containsSettlement, Hellsau]
  • A. Teufen
    Teufen is a Swiss municipality known for its picturesque setting in the hilly landscape of northeastern Switzerland and its traditional Appenzell architecture and culture.
  • B. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • C. Lossberg
    Lossberg is a German surname most notably associated with the military strategist Fritz von Lossberg of the Imperial German Army during World War I.
  • D. Wildenberg
    Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
  • E. Garrweiler
    Garrweiler is a small village that forms one of the constituent districts of the town of Altensteig in the German state of Baden-Württemberg.
  • 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: Hellsau
Triple: [Emmental, containsSettlement, Hellsau]
Generated description
Hellsau is a small rural municipality in the Emmental region of the canton of Bern in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hellsau
Target entity description: Hellsau is a small rural municipality in the Emmental region of the canton of Bern in Switzerland.
  • A. Teufen
    Teufen is a Swiss municipality known for its picturesque setting in the hilly landscape of northeastern Switzerland and its traditional Appenzell architecture and culture.
  • B. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • C. Lossberg
    Lossberg is a German surname most notably associated with the military strategist Fritz von Lossberg of the Imperial German Army during World War I.
  • D. Wildenberg
    Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
  • E. Garrweiler
    Garrweiler is a small village that forms one of the constituent districts of the town of Altensteig in the German state of Baden-Württemberg.
  • 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_6a047141e8208190b240a11ae3b02ec0 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a04738415508190945eec50944d96e9 completed May 13, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a04746a380c819097df59bdbce0f6f6 completed May 13, 2026, 12:54 p.m.
Created at: April 10, 2026, 11:36 a.m.