Triple

T16464209
Position Surface form Disambiguated ID Type / Status
Subject Phuket Province E399886 entity
Predicate hasBeach P1922 FINISHED
Object Kata Beach E405698 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: Kata Beach | Statement: [Phuket Province, hasBeach, Kata Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kata Beach
Context triple: [Phuket Province, hasBeach, Kata Beach]
  • A. Kata Beach chosen
    Kata Beach is a popular sandy beach on the southwest coast of Phuket, Thailand, known for its clear waters, relaxed atmosphere, and surfing-friendly waves.
  • B. Kuta Beach
    Kuta Beach is a famous tourist beach in Bali, Indonesia, known for its surfing waves, vibrant nightlife, and sunset views.
  • C. 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.
  • D. Kania Beach
    Kania Beach is a small, tranquil seaside spot on the Greek island of Chalki, known for its clear waters and relaxed atmosphere.
  • E. Rekawa Beach
    Rekawa Beach is a tranquil coastal area in southern Sri Lanka renowned for its sea turtle nesting sites and unspoiled natural beauty.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d83687081908450657e1da6f6af completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581a11e881908681f68c26ee6a05 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.