Triple

T16434311
Position Surface form Disambiguated ID Type / Status
Subject Andaman Coast E399143 entity
Predicate hasProvince P285 FINISHED
Object Satun province E174986 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: Satun province | Statement: [Andaman Coast, hasProvince, Satun province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satun province
Context triple: [Andaman Coast, hasProvince, Satun province]
  • A. Satun province chosen
    Satun province is a coastal province in southern Thailand known for its tranquil islands, marine national parks, and cultural ties to Malaysia.
  • B. Nan province
    Nan province is a mountainous, sparsely populated region of northern Thailand known for its remote river valleys, traditional Tai Lue culture, and forested national parks along the Lao border.
  • C. Ranong province
    Ranong province is a coastal province in southern Thailand known for its mountainous rainforest terrain, high rainfall, and location along the Andaman Sea near the Myanmar border.
  • D. Trat Province
    Trat Province is Thailand’s easternmost coastal province, known for its border with Cambodia and its popular island destinations such as Ko Chang.
  • E. Uttaradit province
    Uttaradit province is a largely rural region in northern Thailand known for its mountainous landscapes, teak forests, and longan fruit cultivation.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba01a1c8190b5a4700e2364ae63 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f477674819093bcf9f0df43ebf9 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.