Triple

T9440807
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate contains P35 FINISHED
Object Thierhaupten
Thierhaupten is a market town in Bavaria, Germany, known for its historic Benedictine monastery and rural setting northeast of Augsburg.
E801975 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: Thierhaupten | Statement: [Augsburg district, contains, Thierhaupten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thierhaupten
Context triple: [Augsburg district, contains, Thierhaupten]
  • A. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • B. Fuchstal
    Fuchstal is a municipality in the Bavarian region of Germany, known for its rural character and location within the district of Weilheim-Schongau.
  • C. Wolfhagen
    Wolfhagen is a small town in the German state of Hesse, known for its historic half-timbered buildings and location near the Habichtswald Nature Park.
  • D. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • E. Reinsberg
    Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • 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: Thierhaupten
Triple: [Augsburg district, contains, Thierhaupten]
Generated description
Thierhaupten is a market town in Bavaria, Germany, known for its historic Benedictine monastery and rural setting northeast of Augsburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thierhaupten
Target entity description: Thierhaupten is a market town in Bavaria, Germany, known for its historic Benedictine monastery and rural setting northeast of Augsburg.
  • A. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • B. Fuchstal
    Fuchstal is a municipality in the Bavarian region of Germany, known for its rural character and location within the district of Weilheim-Schongau.
  • C. Wolfhagen
    Wolfhagen is a small town in the German state of Hesse, known for its historic half-timbered buildings and location near the Habichtswald Nature Park.
  • D. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • E. Reinsberg
    Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • 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_69d12cd9ae548190bf985c72196eb0bd completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12dcae2088190bdb4ebac9021e622 completed April 4, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69d12e4077a4819094e86eb0de69b2ed completed April 4, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:50 p.m.