Triple

T6907373
Position Surface form Disambiguated ID Type / Status
Subject Cape Peninsula E159843 entity
Predicate hasTown P847 FINISHED
Object Noordhoek E346268 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: Noordhoek | Statement: [Cape Peninsula, hasTown, Noordhoek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noordhoek
Context triple: [Cape Peninsula, hasTown, Noordhoek]
  • A. Noordhoek
    Noordhoek is a neighborhood or locality within the Dutch city of Assen in the province of Drenthe.
  • B. Noordhoek beach chosen
    Noordhoek Beach is a long, scenic stretch of white sand on Cape Town’s Atlantic coast, known for its natural beauty, surfing, horse riding, and relatively unspoiled, tranquil atmosphere.
  • C. Langebaan
    Langebaan is a coastal town on South Africa’s West Coast known for its sheltered lagoon, water sports, and proximity to the West Coast National Park.
  • D. Bloubergstrand
    Bloubergstrand is a coastal suburb near Cape Town, South Africa, known for its sandy beaches and iconic views of Table Mountain across Table Bay.
  • E. Hermanus
    Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9bd7b3c8190842eb83679c322d5 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74901aee08190a5e132200fd58c05 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.