Triple

T19220607
Position Surface form Disambiguated ID Type / Status
Subject States of Guelders E480601 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Veluwe Quarter 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: Veluwe Quarter | Statement: [States of Guelders, appliesToJurisdiction, Veluwe Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veluwe Quarter
Context triple: [States of Guelders, appliesToJurisdiction, Veluwe Quarter]
  • A. Veluwe Quarter chosen
    The Veluwe Quarter was a historical administrative region within the late medieval and early modern Duchy of Guelders in what is now the Netherlands.
  • B. Leeuwenhof
    Leeuwenhof is a notable building and historic residence located in The Hague, Netherlands.
  • C. Bloemhof
    Bloemhof is a small South African town in the North West province, situated on the Vaal River and known for agriculture and freshwater fishing tourism.
  • D. De Braak
    De Braak is a notable park in Amstelveen, Netherlands, known for its green recreational space and local natural scenery.
  • E. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.