Triple

T14420315
Position Surface form Disambiguated ID Type / Status
Subject municipality of Hellevoetsluis E357565 entity
Predicate contains P35 FINISHED
Object Oudenhoorn E72433 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: Oudenhoorn | Statement: [municipality of Hellevoetsluis, contains, Oudenhoorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oudenhoorn
Context triple: [municipality of Hellevoetsluis, contains, Oudenhoorn]
  • A. Oudenhoorn chosen
    Oudenhoorn is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • B. Struisbaai
    Struisbaai is a coastal fishing and holiday town in South Africa’s Western Cape, known for its long sandy beach and proximity to the southernmost tip of Africa.
  • C. Knysna
    Knysna is a picturesque coastal town in South Africa known for its lagoon, indigenous forests, and role as a major tourist destination along the Garden Route.
  • D. Gansbaai
    Gansbaai is a small South African coastal town famous for its great white shark cage diving and whale watching tourism.
  • E. Oudtshoorn
    Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de910eb354819089d5d5a46919eb49 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:18 a.m.