Triple

T9540743
Position Surface form Disambiguated ID Type / Status
Subject Kelheim (district) E230148 entity
Predicate containsMunicipality P852 FINISHED
Object Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
E828884 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: Hohenwart | Statement: [Kelheim (district), containsMunicipality, Hohenwart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohenwart
Context triple: [Kelheim (district), containsMunicipality, Hohenwart]
  • A. Hohenstein
    Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern Germany.
  • B. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • C. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • D. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • E. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • 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: Hohenwart
Triple: [Kelheim (district), containsMunicipality, Hohenwart]
Generated description
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hohenwart
Target entity description: Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
  • A. Hohenstein
    Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern Germany.
  • B. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • C. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • D. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • E. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d20cbe7fb88190a945870540d4c973 completed April 5, 2026, 7:18 a.m.
NEDg Description generation batch_69d20f2aa6588190b842641d41f6179a completed April 5, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69d20f7c328c8190a58ad56e9e63cba0 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:01 p.m.