Triple

T22313796
Position Surface form Disambiguated ID Type / Status
Subject Eindhoven region E551589 entity
Predicate hasMunicipality P847 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: [Eindhoven region, hasMunicipality, Someren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Someren
Context triple: [Eindhoven region, hasMunicipality, 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15751bf208190b8938a00d1afd157 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.