Triple

T8534252
Position Surface form Disambiguated ID Type / Status
Subject Nissewaard E202035 entity
Predicate hasSettlement P1068 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: [Nissewaard, hasSettlement, Simonshaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simonshaven
Context triple: [Nissewaard, hasSettlement, 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a0ccd4819097b41d0dfb1c5018 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d7aa3a881909bfdd3536dbc4ec7 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:17 p.m.