Triple

T3232999
Position Surface form Disambiguated ID Type / Status
Subject Prince Augustus William of Prussia E67785 entity
Predicate placeOfDeath P21 FINISHED
Object Oranienburg E217564 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: Oranienburg | Statement: [Prince Augustus William of Prussia, placeOfDeath, Oranienburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oranienburg
Context triple: [Prince Augustus William of Prussia, placeOfDeath, Oranienburg]
  • A. Oranienburg chosen
    Oranienburg is a town in Brandenburg, Germany, historically known as the site of the Nazi Sachsenhausen concentration camp.
  • B. Köthen
    Köthen is a town in the German state of Saxony-Anhalt, historically known as the residence of the Princes of Anhalt and as a significant center of Baroque music, including Johann Sebastian Bach’s tenure there.
  • C. Dessau
    Dessau is a German city best known for its association with the Bauhaus movement and its iconic modernist architecture.
  • D. Eilenburg
    Eilenburg is a small historic town in the German state of Saxony, situated on the Mulde River northeast of Leipzig.
  • E. Neustrelitz
    Neustrelitz is a town in northeastern Germany known for hosting a key research center of the German Aerospace Center (DLR), particularly focused on satellite data and space-related technologies.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedb718c8190aae12f763033713a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb808e7f94819086fbad85d6aed33e completed March 19, 2026, 4:50 a.m.
Created at: March 8, 2026, 3:08 p.m.