Triple

T13402898
Position Surface form Disambiguated ID Type / Status
Subject Brugg District E319876 entity
Predicate hasMunicipality P847 FINISHED
Object Villnachern
Villnachern is a Swiss municipality in the canton of Aargau, known for its rural character and location near the Aare River.
E1050340 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: Villnachern | Statement: [Brugg District, hasMunicipality, Villnachern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villnachern
Context triple: [Brugg District, hasMunicipality, Villnachern]
  • A. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • B. Kößlarn
    Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
  • C. Reischach
    Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
  • D. Pleiskirchen
    Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
  • E. Oberweier
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • 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: Villnachern
Triple: [Brugg District, hasMunicipality, Villnachern]
Generated description
Villnachern is a Swiss municipality in the canton of Aargau, known for its rural character and location near the Aare River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Villnachern
Target entity description: Villnachern is a Swiss municipality in the canton of Aargau, known for its rural character and location near the Aare River.
  • A. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • B. Kößlarn
    Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
  • C. Reischach
    Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
  • D. Pleiskirchen
    Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
  • E. Oberweier
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4982e0819087a9fcb2fa88541f completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7c04948190a0c8ce01996e3982 completed May 3, 2026, 5:01 p.m.
NEDg Description generation batch_69f7802f49c48190b9dbaaf181f2b367 completed May 3, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69f78089050c81909943164d1a41a37f completed May 3, 2026, 5:06 p.m.
Created at: April 9, 2026, 9:34 p.m.