Triple

T15488573
Position Surface form Disambiguated ID Type / Status
Subject Dorothea Wilhelmine of Saxe-Zeitz E377118 entity
Predicate birthPlace P1 FINISHED
Object Zeitz E189696 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: Zeitz | Statement: [Dorothea Wilhelmine of Saxe-Zeitz, birthPlace, Zeitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeitz
Context triple: [Dorothea Wilhelmine of Saxe-Zeitz, birthPlace, Zeitz]
  • A. Zeitz chosen
    Zeitz is a historic town in the German state of Saxony-Anhalt, known for its former ducal residence, cathedral, and role as a regional cultural and economic center.
  • B. Zutendaal
    Zutendaal is a small municipality in the Belgian province of Limburg, known for its forests, nature reserves, and role as a gateway to the Hoge Kempen National Park.
  • C. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • D. Manenberg
    Manenberg is a township on the Cape Flats in Cape Town, South Africa, known for its history of forced removals under apartheid and ongoing social challenges alongside strong community activism and culture.
  • E. Geseke
    Geseke is a small town in western Germany located in the historical region of Westphalia.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365d45488190b48458092b6ffead completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:48 a.m.