Triple

T9942083
Position Surface form Disambiguated ID Type / Status
Subject Chonburi Province E194107 entity
Predicate containsCity P294 FINISHED
Object Bo Thong
Bo Thong is a rural district-level town located in Thailand’s eastern Chonburi Province.
E830715 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: Bo Thong | Statement: [Chonburi Province, containsCity, Bo Thong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo Thong
Context triple: [Chonburi Province, containsCity, Bo Thong]
  • A. Phimeanakas
    Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
  • B. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • C. Boon Hua
    Boon Hua is the given name of Ong Boon Hua, better known as Chin Peng, the former leader of the Malayan Communist Party.
  • D. Ngam
    Ngam is a dialect of the Sara language spoken by communities in parts of Central Africa, particularly in Chad and the surrounding region.
  • E. Ban Mae Haad
    Ban Mae Haad is the main port village and one of the primary tourist hubs on the island of Ko Tao in Thailand.
  • 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: Bo Thong
Triple: [Chonburi Province, containsCity, Bo Thong]
Generated description
Bo Thong is a rural district-level town located in Thailand’s eastern Chonburi Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bo Thong
Target entity description: Bo Thong is a rural district-level town located in Thailand’s eastern Chonburi Province.
  • A. Phimeanakas
    Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
  • B. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • C. Boon Hua
    Boon Hua is the given name of Ong Boon Hua, better known as Chin Peng, the former leader of the Malayan Communist Party.
  • D. Ngam
    Ngam is a dialect of the Sara language spoken by communities in parts of Central Africa, particularly in Chad and the surrounding region.
  • E. Ban Mae Haad
    Ban Mae Haad is the main port village and one of the primary tourist hubs on the island of Ko Tao in Thailand.
  • F. None of above. chosen

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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb610905c81909d669265c92021a5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22911a9ac81909caa2afb30e4860b completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d22ad44b748190a774a2b2f8d5fabf completed April 5, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69d22b37ce8481909a52a144605d44a4 completed April 5, 2026, 9:28 a.m.
Created at: March 30, 2026, 8:44 p.m.