Triple

T22415569
Position Surface form Disambiguated ID Type / Status
Subject Hapert E554113 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Casteren 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: Casteren | Statement: [Hapert, hasNeighbouringSettlement, Casteren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casteren
Context triple: [Hapert, hasNeighbouringSettlement, Casteren]
  • A. Casteren chosen
    Casteren is a small village in the Dutch province of North Brabant, located within the municipality of Bladel.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • D. Tienhoven
    Tienhoven is a small village in the Dutch province of Utrecht, known for its rural landscape and location within the municipality of Stichtse Vecht.
  • E. Zwanenburg
    Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
  • 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.