Triple

T16016476
Position Surface form Disambiguated ID Type / Status
Subject Pambula E388478 entity
Predicate hasAttraction P105 FINISHED
Object Pambula Beach E78273 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: Pambula Beach | Statement: [Pambula, hasAttraction, Pambula Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pambula Beach
Context triple: [Pambula, hasAttraction, Pambula Beach]
  • A. Pambula Beach chosen
    Pambula Beach is a coastal town and popular holiday destination in New South Wales, Australia, known for its scenic beaches, wildlife, and relaxed seaside atmosphere.
  • B. Aruana Beach
    Aruana Beach is a popular coastal stretch in Aracaju, Brazil, known for its wide sandy shore, warm waters, and relaxed seaside atmosphere.
  • C. Kawana Beach
    Kawana Beach is a long, popular surf and swimming beach on Queensland’s Sunshine Coast, known for its sandy shoreline and relaxed coastal atmosphere.
  • D. Mooloolaba Beach
    Mooloolaba Beach is a popular patrolled surf beach on Queensland’s Sunshine Coast, known for its safe swimming conditions, beachfront esplanade, and vibrant dining and tourism scene.
  • E. Negombo Beach
    Negombo Beach is a popular coastal stretch in western Sri Lanka known for its golden sands, fishing community, and proximity to Bandaranaike International Airport.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff796fafc8190b6cfb2d8ea502eef completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:55 a.m.