Triple

T16195513
Position Surface form Disambiguated ID Type / Status
Subject Vai Palm Forest E393050 entity
Predicate locatedNear P294 FINISHED
Object Vai Beach E427759 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: Vai Beach | Statement: [Vai Palm Forest, locatedNear, Vai Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vai Beach
Context triple: [Vai Palm Forest, locatedNear, Vai Beach]
  • A. Vai Beach chosen
    Vai Beach is a famous palm-fringed sandy beach on the eastern coast of Crete, Greece, known for its large natural palm forest and clear turquoise waters.
  • B. Nambo Beach
    Nambo Beach is a coastal tourist destination in Southeast Sulawesi, Indonesia, known for its white sandy shoreline and clear, calm waters.
  • C. Laiya Beach
    Laiya Beach is a popular white-sand beach destination in the Philippines known for its clear waters, resorts, and water activities.
  • D. Matira Beach
    Matira Beach is a renowned white-sand beach on the island of Bora Bora in French Polynesia, famous for its crystal-clear lagoon waters and stunning sunsets.
  • E. Bira Beach
    Bira Beach is a popular white-sand coastal destination in South Sulawesi, Indonesia, known for its clear turquoise waters, vibrant marine life, and traditional phinisi boat-building culture nearby.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d91130819080da4e2611612e27 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0f352081908324783743e47029 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.