Triple

T19150348
Position Surface form Disambiguated ID Type / Status
Subject Southern Province E468787 entity
Predicate hasTouristAttraction P530 FINISHED
Object Mirissa Beach NE NERFINISHED

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: Mirissa Beach | Statement: [Southern Province, hasTouristAttraction, Mirissa Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirissa Beach
Context triple: [Southern Province, hasTouristAttraction, Mirissa Beach]
  • A. Mirissa Beach chosen
    Mirissa Beach is a popular crescent-shaped coastal destination in southern Sri Lanka known for its golden sands, surfing, whale watching, and laid-back atmosphere.
  • B. Laiya Beach
    Laiya Beach is a popular white-sand beach destination in the Philippines known for its clear waters, resorts, and water activities.
  • C. Kota Beach
    Kota Beach is a popular white-sand beach on Bantayan Island in the Philippines, known for its clear turquoise waters and relaxed island atmosphere.
  • D. Matras Beach
    Matras Beach is a popular white-sand coastal destination on Bangka Island in Indonesia, known for its gentle waves, granite boulders, and relaxed seaside atmosphere.
  • E. Koki Beach
    Koki Beach is a scenic red-sand beach on Maui’s Hāna coast, known for its rugged shoreline, strong surf, and views of the nearby ʻAlau Island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97c42348190875a2f5b5bc0b99e completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.