Triple

T12094065
Position Surface form Disambiguated ID Type / Status
Subject Prince of Calenberg E288022 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Calenberg E277765 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: Calenberg | Statement: [Prince of Calenberg, hasHistoricalRegion, Calenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calenberg
Context triple: [Prince of Calenberg, hasHistoricalRegion, Calenberg]
  • A. Calenberg chosen
    Calenberg was a historic principality in what is now Lower Saxony, Germany, that formed a core territory of the Duchy of Brunswick-Lüneburg and later the Electorate and Kingdom of Hanover.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Langenberg
    Langenberg is a prominent mountain in the Rothaargebirge range of Germany, known as the highest peak in the state of North Rhine-Westphalia.
  • D. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • E. Langenfeld
    Langenfeld is a town in western Germany, located in the state of North Rhine-Westphalia between Düsseldorf and Cologne.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6f22cc8190ba12c910c5ef5868 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.