Triple

T1522445
Position Surface form Disambiguated ID Type / Status
Subject Thai–Myanmar border E32258 entity
Predicate hasBorderTown P847 FINISHED
Object Ranong
Ranong is a southern Thai provincial capital and port city known as a key crossing and trade hub on the Thai–Myanmar border.
E178430 NE FINISHED

How this triple was built (4 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: Ranong | Statement: [Thai–Myanmar border, hasBorderTown, Ranong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranong
Context triple: [Thai–Myanmar border, hasBorderTown, Ranong]
  • A. Mae Sot
    Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
  • B. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • C. Phang Nga province
    Phang Nga province is a coastal region in southern Thailand known for its dramatic limestone karst islands, marine national parks, and scenic Phang Nga Bay.
  • D. Lao Phra Lak Phra Lam
    Lao Phra Lak Phra Lam is the Lao national epic, a localized adaptation of the Indian Ramayana that reflects Lao culture, religion, and literary tradition.
  • E. Mae Hong Son Province
    Mae Hong Son Province is a mountainous, remote region in northern Thailand known for its significant Karen population, misty landscapes, and forested border with Myanmar.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ranong
Triple: [Thai–Myanmar border, hasBorderTown, Ranong]
Generated description
Ranong is a southern Thai provincial capital and port city known as a key crossing and trade hub on the Thai–Myanmar border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ranong
Target entity description: Ranong is a southern Thai provincial capital and port city known as a key crossing and trade hub on the Thai–Myanmar border.
  • A. Ranong province chosen
    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.
  • B. Mae Sot
    Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
  • C. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • D. Phang Nga province
    Phang Nga province is a coastal region in southern Thailand known for its dramatic limestone karst islands, marine national parks, and scenic Phang Nga Bay.
  • E. Lao Phra Lak Phra Lam
    Lao Phra Lak Phra Lam is the Lao national epic, a localized adaptation of the Indian Ramayana that reflects Lao culture, religion, and literary tradition.
  • F. None of above.

Provenance (5 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907fe8b0c8190a765afd3a10ee5e0 completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401616ec81908edd9dcb9f4a0184 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad4130bf30819092be42a4e9225220 completed March 8, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_69ad41968e4c8190b843b97e18ac9968 completed March 8, 2026, 9:29 a.m.
Created at: March 4, 2026, 7:26 p.m.