Triple

T16092462
Position Surface form Disambiguated ID Type / Status
Subject Dorothea Sophie of Neuburg E390390 entity
Predicate birthPlace P1 FINISHED
Object Neuburg an der Donau E1094902 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: Neuburg an der Donau | Statement: [Dorothea Sophie of Neuburg, birthPlace, Neuburg an der Donau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuburg an der Donau
Context triple: [Dorothea Sophie of Neuburg, birthPlace, Neuburg an der Donau]
  • A. Neuburg an der Donau chosen
    Neuburg an der Donau is a historic Bavarian town on the Danube River in southern Germany, known for its Renaissance castle and former status as a ducal residence.
  • B. Neuburg am Inn
    Neuburg am Inn is a Bavarian municipality in southeastern Germany situated on the River Inn near the city of Passau.
  • C. Wörth an der Donau
    Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
  • D. Neuburg an der Kammel
    Neuburg an der Kammel is a small municipality in the Bavarian region of Swabia in southern Germany.
  • E. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb40dc08190b9d6a04f3c19f57d completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 4:59 a.m.