Triple

T9552473
Position Surface form Disambiguated ID Type / Status
Subject Gisela of Swabia E230454 entity
Predicate placeOfDeath P21 FINISHED
Object Goslar E51097 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: Goslar | Statement: [Gisela of Swabia, placeOfDeath, Goslar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goslar
Context triple: [Gisela of Swabia, placeOfDeath, Goslar]
  • A. Goslar chosen
    Goslar is a historic German town at the foot of the Harz Mountains, renowned for its well-preserved medieval old town and former silver mines, both recognized as UNESCO World Heritage Sites.
  • B. Lemgo
    Lemgo is a historic town in the Lippe district of North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and Hanseatic heritage.
  • C. Boppard
    Boppard is a historic town on the Rhine River in Germany, renowned for its well-preserved medieval architecture, wine culture, and scenic river landscapes.
  • D. Meppen
    Meppen is a historic town in Lower Saxony, Germany, known as a regional center in the Emsland district near the Dutch border.
  • E. Fritzlar
    Fritzlar is a historic town in northern Hesse, Germany, known for its well-preserved medieval old town and its significance in early German Christian history.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991f87e48190b5a5f4b3dfe7c1dd completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15286f7c881909258b9f06a81e464 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.