Triple

T20043586
Position Surface form Disambiguated ID Type / Status
Subject Rastatt district E497493 entity
Predicate contains P35 FINISHED
Object Ötigheim
Ötigheim is a small municipality in southwestern Germany’s Baden-Württemberg state, known for its open-air theater and rural character within the Rastatt district.
E1423265 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: Ötigheim | Statement: [Rastatt district, contains, Ötigheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ötigheim
Context triple: [Rastatt district, contains, Ötigheim]
  • A. Grafenried
    Grafenried is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
  • B. Adelsried
    Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
  • C. Heiligenberg
    Heiligenberg is a prominent hill overlooking Heidelberg in Germany, known for its historical ruins and cultural sites.
  • D. Geretsried
    Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
  • E. Obergriesbach
    Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of 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: Ötigheim
Triple: [Rastatt district, contains, Ötigheim]
Generated description
Ötigheim is a small municipality in southwestern Germany’s Baden-Württemberg state, known for its open-air theater and rural character within the Rastatt district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ötigheim
Target entity description: Ötigheim is a small municipality in southwestern Germany’s Baden-Württemberg state, known for its open-air theater and rural character within the Rastatt district.
  • A. Grafenried
    Grafenried is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
  • B. Adelsried
    Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
  • C. Heiligenberg
    Heiligenberg is a prominent hill overlooking Heidelberg in Germany, known for its historical ruins and cultural sites.
  • D. Geretsried
    Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
  • E. Obergriesbach
    Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662ed59bc8190a9ff25493e500ebb completed April 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086103b4c4819085616d98a9b4dc84 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a0861b954888190a6305aa805aa97ff completed May 16, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0862237d148190b4e12c878ca9c7a2 completed May 16, 2026, 12:25 p.m.
Created at: April 11, 2026, 3:37 p.m.