Triple

T6753711
Position Surface form Disambiguated ID Type / Status
Subject Asten E154400 entity
Predicate hasSettlement P1068 FINISHED
Object Asten (town)
Asten (town) is a small municipality in the province of North Brabant in the southern Netherlands, known for its rural character and historic bell foundry.
 E615458 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: Asten (town) | Statement: [Asten, hasSettlement, Asten (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asten (town)
Context triple: [Asten, hasSettlement, Asten (town)]
  • A. Åsta
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • B. Astheim (Volkach)
    Astheim (Volkach) is a small district of the town of Volkach in Lower Franconia, Bavaria, Germany, known for its location in the Main River wine-growing region.
  • C. Aulestad
    Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • D. Arensburg
    Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
  • E. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • 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: Asten (town)
Triple: [Asten, hasSettlement, Asten (town)]
Generated description
Asten (town) is a small municipality in the province of North Brabant in the southern Netherlands, known for its rural character and historic bell foundry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asten (town)
Target entity description: Asten (town) is a small municipality in the province of North Brabant in the southern Netherlands, known for its rural character and historic bell foundry.
  • A. Åsta
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • B. Astheim (Volkach)
    Astheim (Volkach) is a small district of the town of Volkach in Lower Franconia, Bavaria, Germany, known for its location in the Main River wine-growing region.
  • C. Aulestad
    Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • D. Arensburg
    Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
  • E. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f32fa08190bb23dc24fef14c8d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1c4594819084716e21b16191e3 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c4111848190906b0e43cf4ae325 completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70cbb8644819091a8a9c061dfd605 completed March 27, 2026, 11:03 p.m.
Created at: March 27, 2026, 2:11 p.m.