Triple

T7506547
Position Surface form Disambiguated ID Type / Status
Subject Chumphon province E177403 entity
Predicate connectsByFerryTo P1831 FINISHED
Object Koh Phangan E157449 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: Koh Phangan | Statement: [Chumphon province, connectsByFerryTo, Koh Phangan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koh Phangan
Context triple: [Chumphon province, connectsByFerryTo, Koh Phangan]
  • A. Ko Pha Ngan chosen
    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.
  • B. Koh Larn
    Koh Larn is a small tropical island off the coast of Pattaya in the Gulf of Thailand, known for its white-sand beaches, clear waters, and popular day-trip snorkeling and water activities.
  • 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. Koh Prins
    Koh Prins is a small Cambodian island in the Gulf of Thailand, known for its relatively remote, undeveloped beaches and clear surrounding waters.
  • E. Mai Khao Beach
    Mai Khao Beach is a long, relatively undeveloped stretch of sand on Phuket’s northwest coast, known for its tranquil atmosphere and dramatic views of low-flying planes approaching the nearby airport.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ef2e4588190bedda247ed83bd88 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:45 p.m.