Triple

T9440812
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate contains P35 FINISHED
Object Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
 E804750 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: Bonstetten | Statement: [Augsburg district, contains, Bonstetten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonstetten
Context triple: [Augsburg district, contains, Bonstetten]
  • A. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • B. Göschenen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • C. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • D. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • E. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • 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: Bonstetten
Triple: [Augsburg district, contains, Bonstetten]
Generated description
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonstetten
Target entity description: Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • A. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • B. Göschenen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • C. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • D. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • E. Selzach
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee4f4a08190ada5ee14fec2b822 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14be965e881909acda0a2df1b24b3 completed April 4, 2026, 5:35 p.m.
NEDg Description generation batch_69d14ca535588190aa2ff77f0658226b completed April 4, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69d14d29d32c8190a8615b3450492abc completed April 4, 2026, 5:40 p.m.
Created at: March 30, 2026, 7:50 p.m.