Triple

T22415567
Position Surface form Disambiguated ID Type / Status
Subject Hapert E554113 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Bladel 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: Bladel | Statement: [Hapert, hasNeighbouringSettlement, Bladel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bladel
Context triple: [Hapert, hasNeighbouringSettlement, Bladel]
  • A. Bladel chosen
    Bladel is a town and municipality in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • B. The Blade
    The Blade is a 1995 Hong Kong martial arts film directed by Tsui Hark, renowned for its gritty, stylized action and deconstruction of the traditional wuxia hero.
  • C. Berlaar
    Berlaar is a municipality in the Belgian province of Antwerp, known for its rural character and location along the Nete River.
  • D. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • E. Sindel
    Sindel is a powerful queen of Edenia in the Mortal Kombat series, known for her lethal sonic screams, flowing hair attacks, and complex role as both tragic mother and ruthless antagonist.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594615f881909688b02548ee83eb completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.