Triple

T17598946
Position Surface form Disambiguated ID Type / Status
Subject George Etherege E428642 entity
Predicate residence P75 FINISHED
Object Ratisbon (Regensburg) 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: Ratisbon (Regensburg) | Statement: [George Etherege, residence, Ratisbon (Regensburg)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratisbon (Regensburg)
Context triple: [George Etherege, residence, Ratisbon (Regensburg)]
  • A. Regensburg chosen
    Regensburg is a historic city in southeastern Germany known for its well-preserved medieval old town on the Danube River.
  • B. Augsburg
    Augsburg is one of Germany’s oldest cities, a historic Bavarian center known for its rich Renaissance heritage and role as a major medieval trading hub.
  • C. Landshut
    Landshut is a historic Bavarian city in southeastern Germany known for its well-preserved medieval architecture and the landmark Trausnitz Castle.
  • D. Imperial City of Regensburg
    The Imperial City of Regensburg was a prominent Free Imperial City of the Holy Roman Empire, known as a major political and ecclesiastical center and frequent site of Imperial Diets.
  • E. Passau
    Passau is a historic city in southeastern Germany, renowned for its picturesque old town and location at the meeting point of three rivers: the Danube, Inn, and Ilz.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c474e5481909d2736241b592dab completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.