Triple

T16695298
Position Surface form Disambiguated ID Type / Status
Subject Kata Beach E405698 entity
Predicate isPartOf P10 FINISHED
Object Phuket Island tourism area E93356 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: Phuket Island tourism area | Statement: [Kata Beach, isPartOf, Phuket Island tourism area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phuket Island tourism area
Context triple: [Kata Beach, isPartOf, Phuket Island tourism area]
  • A. Phuket chosen
    Phuket is Thailand’s largest island and a major beach and resort destination in the Andaman Sea, renowned for its vibrant nightlife, coastal scenery, and role as a hub for cultural festivals and tourism.
  • B. Lanta Islands
    The Lanta Islands are a popular Thai archipelago in the Andaman Sea known for their laid-back atmosphere, sandy beaches, and excellent diving and snorkeling sites.
  • C. Ko Samui
    Ko Samui is a popular Thai island in the Gulf of Thailand known for its palm-fringed beaches, luxury resorts, and vibrant nightlife.
  • D. Hua Hin
    Hua Hin is a popular seaside resort town on the Gulf of Thailand, known for its beaches, royal residences, and relaxed coastal atmosphere.
  • E. Patong Beach
    Patong Beach is Phuket’s most famous resort area, known for its long sandy shoreline, vibrant nightlife, and dense concentration of hotels, bars, and restaurants.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eacfa788190a8d2058f96c0d445 completed April 18, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919acd308190a3f29040554b9cfc completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.