Triple

T11134049
Position Surface form Disambiguated ID Type / Status
Subject Louis Rudolph, Duke of Brunswick-Lüneburg E263362 entity
Predicate residence P75 FINISHED
Object Blankenburg E607064 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: Blankenburg | Statement: [Louis Rudolph, Duke of Brunswick-Lüneburg, residence, Blankenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blankenburg
Context triple: [Louis Rudolph, Duke of Brunswick-Lüneburg, residence, Blankenburg]
  • A. Blankenburg
    Blankenburg is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and village-like atmosphere.
  • B. Blankenburg chosen
    Blankenburg is a town in central Germany, located in the Harz region of the state of Saxony-Anhalt.
  • C. Kronenburg
    Kronenburg is a tram and metro stop in Amstelveen, Netherlands, serving the Amsterdam metro/Tram 25 line and the surrounding residential and commercial area.
  • D. Warffum
    Warffum is a historic village in the Dutch province of Groningen, known for its traditional architecture and open-air museum showcasing rural life.
  • E. Sassenheim
    Sassenheim is a town in the Dutch province of South Holland, known historically for its bulb-growing industry and location within the Duin- en Bollenstreek (Dune and Bulb Region).
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5427918f08190ac1fdf3e0aff036f completed April 19, 2026, 9 p.m.
Created at: April 8, 2026, 9:28 p.m.