Triple

T10984050
Position Surface form Disambiguated ID Type / Status
Subject Reitdiep E259581 entity
Predicate mouth P407 FINISHED
Object Zoutkamp E262913 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: Zoutkamp | Statement: [Reitdiep, mouth, Zoutkamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoutkamp
Context triple: [Reitdiep, mouth, Zoutkamp]
  • A. Zoutkamp chosen
    Zoutkamp is a historic fishing village in the Dutch province of Groningen, known for its former role as a fortified harbor and its traditional maritime character.
  • B. Cronjé
    Cronjé is an Afrikaans surname of French Huguenot origin, notably borne by figures such as Boer general Piet Cronjé.
  • C. Boshoff
    Boshoff is an Afrikaans-origin surname commonly found in South Africa, associated with several notable historical and contemporary figures.
  • D. Theunis
    Theunis is a given name most notably associated with Marthinus Theunis Steyn, the last president of the independent Orange Free State during the Second Boer War.
  • E. Niekerk
    Niekerk is a village in the municipality of Westerkwartier in the province of Groningen, the Netherlands.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ec55fc81909b2b15f2493dddc6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344d860b08190a035570191c54d7c completed April 18, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.