Triple

T15856423
Position Surface form Disambiguated ID Type / Status
Subject Maria Eleonora of Brandenburg E384468 entity
Predicate birthPlace P1 FINISHED
Object Königsberg E19236 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: Königsberg | Statement: [Maria Eleonora of Brandenburg, birthPlace, Königsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Königsberg
Context triple: [Maria Eleonora of Brandenburg, birthPlace, Königsberg]
  • A. Königsberg chosen
    Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
  • B. Königsberg
    Königsberg is a district or locality that forms part of the town of Braunfels in the German state of Hesse.
  • C. Konigsberg
    Konigsberg is a surname most famously associated with American filmmaker, writer, and comedian Woody Allen, whose birth name is Allan Stewart Konigsberg.
  • D. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • E. Goldap
    Goldap is a town in northeastern Poland near the border with Russia’s Kaliningrad Oblast, historically notable for its strategic location and heavy fighting during World War II.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cb08bd081908af2120eb2925441 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14c1e508190a182db216cc4e326 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.