Triple

T12158225
Position Surface form Disambiguated ID Type / Status
Subject Wurzen E289633 entity
Predicate hasSubdivision P747 FINISHED
Object Neichen
Neichen is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
E709499 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: Neichen | Statement: [Wurzen, hasSubdivision, Neichen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neichen
Context triple: [Wurzen, hasSubdivision, Neichen]
  • A. Neichen
    Neichen is a locality or district that forms part of the town of Trebsen in Germany.
  • B. Dushun
    Dushun was a 7th-century Chinese Buddhist monk traditionally regarded as the founding patriarch of the Huayan school of Mahayana Buddhism.
  • C. Beihan
    Beihan was a former sultanate in what is now Yemen that later became one of the states within the British-backed Federation of South Arabia.
  • D. Niefang
    Niefang is a town in Equatorial Guinea located in the mainland province of Centro Sur.
  • E. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • 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: Neichen
Triple: [Wurzen, hasSubdivision, Neichen]
Generated description
Neichen is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neichen
Target entity description: Neichen is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
  • A. Neichen chosen
    Neichen is a locality or district that forms part of the town of Trebsen in Germany.
  • B. Dushun
    Dushun was a 7th-century Chinese Buddhist monk traditionally regarded as the founding patriarch of the Huayan school of Mahayana Buddhism.
  • C. Beihan
    Beihan was a former sultanate in what is now Yemen that later became one of the states within the British-backed Federation of South Arabia.
  • D. Niefang
    Niefang is a town in Equatorial Guinea located in the mainland province of Centro Sur.
  • E. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • F. None of above.

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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f601e0777081909e1212436680a10d completed May 2, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69f602a21f948190849839301f49d55a completed May 2, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:50 p.m.