Triple

T23201477
Position Surface form Disambiguated ID Type / Status
Subject Amphoe Mueang Krabi E580323 entity
Predicate contains P35 FINISHED
Object Krabi town NE NERFINISHED

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: Krabi town | Statement: [Amphoe Mueang Krabi, contains, Krabi town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krabi town
Context triple: [Amphoe Mueang Krabi, contains, Krabi town]
  • A. Krabi
    Krabi is a coastal province in southern Thailand renowned for its dramatic limestone cliffs, clear turquoise waters, and island-hopping beaches like Railay and the Phi Phi Islands.
  • B. Krabi-Krabong
    Krabi-Krabong is a traditional Thai weapon-based martial art that focuses on the use of swords, staffs, and other arms in both solo and paired combat.
  • C. Krabi Province
    Krabi Province is a coastal region in southern Thailand known for its dramatic limestone cliffs, clear turquoise waters, and popular beach destinations such as Ao Nang and the Phi Phi Islands.
  • D. Krabi Yai subdistrict chosen
    Krabi Yai subdistrict is a local administrative area within Krabi Province in southern Thailand, encompassing communities near the provincial capital.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19079c44881909e8677921b08b931 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.