Triple

T581363
Position Surface form Disambiguated ID Type / Status
Subject Carl Wilhelm Siemens E15065 entity
Predicate placeOfBirth P1 FINISHED
Object Lenthe
Lenthe is a village in Lower Saxony, Germany, now part of the town of Gehrden near Hanover.
E72998 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: Lenthe | Statement: [Carl Wilhelm Siemens, placeOfBirth, Lenthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenthe
Context triple: [Carl Wilhelm Siemens, placeOfBirth, Lenthe]
  • A. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • B. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • E. Guthega
    Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
  • 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: Lenthe
Triple: [Carl Wilhelm Siemens, placeOfBirth, Lenthe]
Generated description
Lenthe is a village in Lower Saxony, Germany, now part of the town of Gehrden near Hanover.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lenthe
Target entity description: Lenthe is a village in Lower Saxony, Germany, now part of the town of Gehrden near Hanover.
  • A. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • B. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • E. Guthega
    Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b84899881909d5b2b4e67e22d9b completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a508a025308190ac35a5e3606de4de completed March 2, 2026, 3:48 a.m.
NEDg Description generation batch_69a5090f5450819098324292a444fd94 completed March 2, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69a509facafc819089838e0724656ea0 completed March 2, 2026, 3:54 a.m.
Created at: March 1, 2026, 7:33 p.m.