Triple

T19506836
Position Surface form Disambiguated ID Type / Status
Subject Peel region of North Brabant E488042 entity
Predicate hasNearbyTown P3883 FINISHED
Object Someren 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: Someren | Statement: [Peel region of North Brabant, hasNearbyTown, Someren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Someren
Context triple: [Peel region of North Brabant, hasNearbyTown, Someren]
  • A. Someren chosen
    Someren is a municipality and town in the province of North Brabant in the southern Netherlands.
  • B. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • C. Voskuijl
    Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
  • D. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • E. Driel
    Driel is a village in the Dutch province of Gelderland, known for its strategic location on the Rhine and its role in World War II’s Operation Market Garden.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63511fc688190bd1474406060fa1b completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.