Triple

T16464314
Position Surface form Disambiguated ID Type / Status
Subject Old Phuket Town E399888 entity
Predicate locatedOn P40 FINISHED
Object Phuket Island 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 | Statement: [Old Phuket Town, locatedOn, Phuket Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phuket Island
Context triple: [Old Phuket Town, locatedOn, Phuket Island]
  • A. 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.
  • B. 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.
  • 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. Ko Pha Ngan
    Ko Pha Ngan is a popular Thai island in the Gulf of Thailand, best known for its beaches, tropical scenery, and monthly Full Moon Party.
  • E. Koh Samet
    Koh Samet is a small Thai island in the Gulf of Thailand known for its white-sand beaches, clear waters, and relaxed resort atmosphere.
  • 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_6a007589fd888190862206c5a7cac345 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:10 a.m.