Triple

T3480893
Position Surface form Disambiguated ID Type / Status
Subject Werner von Siemens E73486 entity
Predicate placeOfBirth P1 FINISHED
Object Lenthe E72998 NE FINISHED

How this triple was built (2 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: [Werner von Siemens, placeOfBirth, Lenthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenthe
Context triple: [Werner von Siemens, placeOfBirth, Lenthe]
  • A. Lenthe chosen
    Lenthe is a village in Lower Saxony, Germany, now part of the town of Gehrden near Hanover.
  • B. Nuthe
    The Nuthe is a river in eastern Germany that flows through the state of Brandenburg before joining the Havel.
  • C. Lennep
    Lennep is a historic district of the German city of Remscheid in North Rhine-Westphalia, known as the birthplace of physicist Wilhelm Röntgen.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb75850c8190ad02cf2bde8be8a7 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.