Triple

T10545468
Position Surface form Disambiguated ID Type / Status
Subject Samuel Pufendorf E248804 entity
Predicate placeOfBirth P1 FINISHED
Object Dorfchemnitz E248804 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: Dorfchemnitz | Statement: [Samuel Pufendorf, placeOfBirth, Dorfchemnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorfchemnitz
Context triple: [Samuel Pufendorf, placeOfBirth, Dorfchemnitz]
  • A. Dorfchemnitz chosen
    Dorfchemnitz is a small village in Saxony, Germany, best known as the birthplace of the influential 17th-century jurist and natural law philosopher Samuel Pufendorf.
  • B. Hennigsdorf
    Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
  • C. Teisendorf
    Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d519128cac819086c93f3bab854ac2 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9344a53fc81909765061d07d0cd20 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:33 p.m.