Triple

T10071894
Position Surface form Disambiguated ID Type / Status
Subject Voorne-Putten E213647 entity
Predicate hasTown P847 FINISHED
Object Simonshaven E70510 NE FINISHED

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: Simonshaven | Statement: [Voorne-Putten, hasTown, Simonshaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simonshaven
Context triple: [Voorne-Putten, hasTown, Simonshaven]
  • A. Simonshaven chosen
    Simonshaven is a small village in the western Netherlands, located in the province of South Holland.
  • B. Snowshill
    Snowshill is a picturesque Cotswold village in Worcestershire, England, known for its traditional stone cottages, scenic countryside, and the National Trust-owned Snowshill Manor.
  • C. Collishaw
    Collishaw is a surname most notably associated with Raymond Collishaw, a distinguished Canadian fighter ace of the First World War.
  • D. Saltwell
    Saltwell is a British Labour Party politician who served as the Member of Parliament for Newcastle upon Tyne West in the early 20th century.
  • E. Saltwell
    Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd01279388190b94c8def00425c78 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:59 p.m.