Triple

T21820284
Position Surface form Disambiguated ID Type / Status
Subject Caspar Olevian E538706 entity
Predicate burialPlace P196 FINISHED
Object Herborn NE NERFINISHED

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: Herborn | Statement: [Caspar Olevian, burialPlace, Herborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herborn
Context triple: [Caspar Olevian, burialPlace, Herborn]
  • A. Herborn chosen
    Herborn is a historic town in the German state of Hesse, known for its medieval old town and former academy that was an important center of Reformed Protestant scholarship.
  • B. Westhausen
    Westhausen is a municipality in the German state of Baden-Württemberg, located within the Ostalb district in southern Germany.
  • C. Langenhain
    Langenhain is a district of the town Hofheim am Taunus in the German state of Hesse, known for its residential character and proximity to the Taunus hills.
  • D. Wernborn
    Wernborn is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • E. Hachenburg
    Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912d414c81909c109c3e45b6e7d2 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.