Triple

T9092216
Position Surface form Disambiguated ID Type / Status
Subject Biebrich E217916 entity
Predicate hasNeighboringDistrict P17964 FINISHED
Object Dotzheim
Dotzheim is a residential district of Wiesbaden in the German state of Hesse, known for its mix of urban housing and green surroundings.
E777744 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: Dotzheim | Statement: [Biebrich, hasNeighboringDistrict, Dotzheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dotzheim
Context triple: [Biebrich, hasNeighboringDistrict, Dotzheim]
  • A. Blatzheim
    Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • B. Edigheim
    Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • C. Niendorf
    Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
  • D. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • E. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern 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: Dotzheim
Triple: [Biebrich, hasNeighboringDistrict, Dotzheim]
Generated description
Dotzheim is a residential district of Wiesbaden in the German state of Hesse, known for its mix of urban housing and green surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dotzheim
Target entity description: Dotzheim is a residential district of Wiesbaden in the German state of Hesse, known for its mix of urban housing and green surroundings.
  • A. Blatzheim
    Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • B. Edigheim
    Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • C. Niendorf
    Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
  • D. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • E. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b18b24819097b525ddad3a85c0 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017f85c908190a4e90c22a75348b5 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:14 p.m.