Triple

T15560006
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A28 E370970 entity
Predicate passesNear P416 FINISHED
Object Hude
Hude is a municipality in Lower Saxony, Germany, situated between Oldenburg and Bremen and known for its rural character and historic monastery ruins.
 E1163451 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: Hude | Statement: [Autobahn A28, passesNear, Hude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hude
Context triple: [Autobahn A28, passesNear, Hude]
  • A. Hudde
    Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
  • B. Huebra
    The Huebra is a river in western Spain that flows through the provinces of Salamanca and Cáceres before joining the Duero.
  • C. Hoodi
    Hoodi is a rapidly developing suburban neighborhood in eastern Bengaluru, India, known for its residential complexes, tech parks, and proximity to major IT hubs.
  • D. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • E. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • 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: Hude
Triple: [Autobahn A28, passesNear, Hude]
Generated description
Hude is a municipality in Lower Saxony, Germany, situated between Oldenburg and Bremen and known for its rural character and historic monastery ruins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hude
Target entity description: Hude is a municipality in Lower Saxony, Germany, situated between Oldenburg and Bremen and known for its rural character and historic monastery ruins.
  • A. Hudde
    Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
  • B. Huebra
    The Huebra is a river in western Spain that flows through the provinces of Salamanca and Cáceres before joining the Duero.
  • C. Hoodi
    Hoodi is a rapidly developing suburban neighborhood in eastern Bengaluru, India, known for its residential complexes, tech parks, and proximity to major IT hubs.
  • D. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • E. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456635588190a2473bcff3ae4a53 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff46f44b2c81909f65f0ab455c6549 completed May 9, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff477a63b48190a453cf669dfda228 completed May 9, 2026, 2:40 p.m.
Created at: April 10, 2026, 4:09 a.m.