Triple

T9315142
Position Surface form Disambiguated ID Type / Status
Subject Princess Eleonore Erdmuthe of Saxe-Eisenach E224098 entity
Predicate deathPlace P21 FINISHED
Object Pretzsch E771394 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: Pretzsch | Statement: [Princess Eleonore Erdmuthe of Saxe-Eisenach, deathPlace, Pretzsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pretzsch
Context triple: [Princess Eleonore Erdmuthe of Saxe-Eisenach, deathPlace, Pretzsch]
  • A. Pretzsch chosen
    Pretzsch is a small German town in Saxony-Anhalt, historically notable as the birthplace of influential 19th-century piano teacher Friedrich Wieck.
  • B. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • E. Neuhof
    Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b2274481908ddb4eda70cea8cc completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7acba54819086da668f234321de completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.