Triple

T9641625
Position Surface form Disambiguated ID Type / Status
Subject Fürstenfeldbruck district E233084 entity
Predicate contains P35 FINISHED
Object Eichenau
Eichenau is a municipality in Upper Bavaria, Germany, known as a residential suburb west of Munich within the Fürstenfeldbruck district.
E902096 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: Eichenau | Statement: [Fürstenfeldbruck district, contains, Eichenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eichenau
Context triple: [Fürstenfeldbruck district, contains, Eichenau]
  • A. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • B. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • C. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • D. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • E. Burgstädt
    Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
  • 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: Eichenau
Triple: [Fürstenfeldbruck district, contains, Eichenau]
Generated description
Eichenau is a municipality in Upper Bavaria, Germany, known as a residential suburb west of Munich within the Fürstenfeldbruck district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eichenau
Target entity description: Eichenau is a municipality in Upper Bavaria, Germany, known as a residential suburb west of Munich within the Fürstenfeldbruck district.
  • A. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • B. Ziegenhain
    Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
  • C. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • D. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • E. Burgstädt
    Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b566a2881909ab3f9502b1c3c8d completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a8c95ca081908ceaa89eef87fbc9 completed April 18, 2026, 3:52 p.m.
NEDg Description generation batch_69e3abe492388190a2f5752f6bad1220 completed April 18, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1efe4a88190884eb5186954cf39 completed April 18, 2026, 4:31 p.m.
Created at: March 30, 2026, 8:12 p.m.