Triple

T9942084
Position Surface form Disambiguated ID Type / Status
Subject Chonburi Province E194107 entity
Predicate containsCity P294 FINISHED
Object Ko Chan
Ko Chan is a small district-level town in Thailand’s Chonburi Province, known for its rural character and agricultural surroundings.
E832687 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: Ko Chan | Statement: [Chonburi Province, containsCity, Ko Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ko Chan
Context triple: [Chonburi Province, containsCity, Ko Chan]
  • A. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • B. Minyong
    Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • C. Kwangde
    Kwangde is a prominent Himalayan mountain massif in Nepal’s Khumbu region, known for its steep faces and challenging climbing routes.
  • D. Nakchhong
    Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
  • E. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • 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: Ko Chan
Triple: [Chonburi Province, containsCity, Ko Chan]
Generated description
Ko Chan is a small district-level town in Thailand’s Chonburi Province, known for its rural character and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ko Chan
Target entity description: Ko Chan is a small district-level town in Thailand’s Chonburi Province, known for its rural character and agricultural surroundings.
  • A. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • B. Minyong
    Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • C. Kwangde
    Kwangde is a prominent Himalayan mountain massif in Nepal’s Khumbu region, known for its steep faces and challenging climbing routes.
  • D. Nakchhong
    Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
  • E. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • 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_69d23d5095e08190a34ff73ab7bcf8a6 completed April 5, 2026, 10:45 a.m.
NEDg Description generation batch_69d24135c0b88190ad018858b99e0bde completed April 5, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69d241ca07b481908a2852ed15ed5cf2 completed April 5, 2026, 11:04 a.m.
Created at: March 30, 2026, 8:44 p.m.