Triple

T9440816
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate contains P35 FINISHED
Object Kleinaitingen
Kleinaitingen is a small municipality in the Swabian region of Bavaria in southern Germany.
 E812806 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: Kleinaitingen | Statement: [Augsburg district, contains, Kleinaitingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kleinaitingen
Context triple: [Augsburg district, contains, Kleinaitingen]
  • A. Engstingen
    Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
  • B. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • C. Bobingen
    Bobingen is a small town in Bavaria, Germany, situated near Augsburg and known for its location along the Wertach River.
  • D. Feldbach
    Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
  • E. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • 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: Kleinaitingen
Triple: [Augsburg district, contains, Kleinaitingen]
Generated description
Kleinaitingen 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: Kleinaitingen
Target entity description: Kleinaitingen is a small municipality in the Swabian region of Bavaria in southern Germany.
  • A. Engstingen
    Engstingen is a municipality in the state of Baden-Württemberg in southwestern Germany, situated on the Swabian Alb plateau.
  • B. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • C. Bobingen
    Bobingen is a small town in Bavaria, Germany, situated near Augsburg and known for its location along the Wertach River.
  • D. Feldbach
    Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
  • E. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • 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_69d189e601508190b116fca9854057bc completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18aee8ef8819080ce061f3d145712 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b34d14881909b8da862c12f8727 completed April 4, 2026, 10:05 p.m.
Created at: March 30, 2026, 7:50 p.m.