Triple

T9071296
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Baden E217371 entity
Predicate contains P35 FINISHED
Object Teesdorf
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
E790602 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: Teesdorf | Statement: [Bezirk Baden, contains, Teesdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teesdorf
Context triple: [Bezirk Baden, contains, Teesdorf]
  • A. Ruppersdorf
    Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
  • B. Degendorf
    Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
  • C. Friedrichsdorf
    Friedrichsdorf is a town in the German state of Hesse, located north of Frankfurt and known historically for its Huguenot heritage and proximity to the Taunus mountains.
  • D. Wilhelmsdorf
    Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
  • E. Pfersdorf
    Pfersdorf is a village-level subdivision of the municipality of Roth in Bavaria, Germany.
  • 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: Teesdorf
Triple: [Bezirk Baden, contains, Teesdorf]
Generated description
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teesdorf
Target entity description: Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
  • A. Ruppersdorf
    Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
  • B. Degendorf
    Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
  • C. Friedrichsdorf
    Friedrichsdorf is a town in the German state of Hesse, located north of Frankfurt and known historically for its Huguenot heritage and proximity to the Taunus mountains.
  • D. Wilhelmsdorf
    Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
  • E. Pfersdorf
    Pfersdorf is a village-level subdivision of the municipality of Roth in Bavaria, Germany.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ec5c0819089bb42448edf391e completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1877fd48190ad33df32bcd93e13 completed April 4, 2026, 6:36 a.m.
NEDg Description generation batch_69d0b3a2b6f481908b0528f6fa67535b completed April 4, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69d0b7944adc819080b3a90878dd7203 completed April 4, 2026, 7:02 a.m.
Created at: March 30, 2026, 7:12 p.m.