Triple

T12158226
Position Surface form Disambiguated ID Type / Status
Subject Wurzen E289633 entity
Predicate hasSubdivision P747 FINISHED
Object Nemt
Nemt is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
E969698 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: Nemt | Statement: [Wurzen, hasSubdivision, Nemt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nemt
Context triple: [Wurzen, hasSubdivision, Nemt]
  • A. Nemtyemsaf
    Nemtyemsaf was an ancient Egyptian royal name borne by pharaohs of the Sixth Dynasty, notably Merenre Nemtyemsaf I.
  • B. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • C. Neltume
    Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
  • D. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • 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: Nemt
Triple: [Wurzen, hasSubdivision, Nemt]
Generated description
Nemt is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nemt
Target entity description: Nemt is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
  • A. Nemtyemsaf
    Nemtyemsaf was an ancient Egyptian royal name borne by pharaohs of the Sixth Dynasty, notably Merenre Nemtyemsaf I.
  • B. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • C. Neltume
    Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
  • D. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • 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_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_69f60a837a5881908c600be0be334269 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4c30448190874f253b864ef61e completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.