Triple

T5035847
Position Surface form Disambiguated ID Type / Status
Subject Gaggenau E113418 entity
Predicate hasCityDistrict P2709 FINISHED
Object Ottenau
Ottenau is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
E511163 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: Ottenau | Statement: [Gaggenau, hasCityDistrict, Ottenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ottenau
Context triple: [Gaggenau, hasCityDistrict, Ottenau]
  • A. Rauental
    Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
  • B. Teutschenthal
    Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
  • C. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • D. Braubach
    Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
  • E. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • 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: Ottenau
Triple: [Gaggenau, hasCityDistrict, Ottenau]
Generated description
Ottenau is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ottenau
Target entity description: Ottenau is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
  • A. Rauental
    Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
  • B. Teutschenthal
    Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
  • C. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • D. Braubach
    Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
  • E. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b9ad488190a2a8c4da8858eb91 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf186790248190bc94cfbecf3cfe73 completed March 21, 2026, 10:15 p.m.
NEDg Description generation batch_69bf18f90d9081908a47e69e82ed2940 completed March 21, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69bf195e7be88190a7655d18471b1662 completed March 21, 2026, 10:19 p.m.
Created at: March 20, 2026, 1:36 p.m.