Triple

T13295251
Position Surface form Disambiguated ID Type / Status
Subject Ang Thong Province E316663 entity
Predicate contains P35 FINISHED
Object Ang Thong city
Ang Thong city is the capital and main urban center of Ang Thong Province in central Thailand, known for its traditional handicrafts and historic temples.
 E1032578 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: Ang Thong city | Statement: [Ang Thong Province, contains, Ang Thong city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ang Thong city
Context triple: [Ang Thong Province, contains, Ang Thong city]
  • A. Hat Yai
    Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
  • B. Pattaya
    Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
  • C. Bueng Kan
    Bueng Kan is a northeastern Thai city known as the capital of Bueng Kan Province, situated along the Mekong River near the border with Laos.
  • D. Luangan
    Luangan is an Austronesian language spoken by the Lawangan people of central and eastern Borneo in Indonesia.
  • E. Chumphon
    Chumphon is a coastal city in southern Thailand that serves as a key gateway to the Gulf of Thailand’s islands and the Chumphon Archipelago.
  • 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: Ang Thong city
Triple: [Ang Thong Province, contains, Ang Thong city]
Generated description
Ang Thong city is the capital and main urban center of Ang Thong Province in central Thailand, known for its traditional handicrafts and historic temples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ang Thong city
Target entity description: Ang Thong city is the capital and main urban center of Ang Thong Province in central Thailand, known for its traditional handicrafts and historic temples.
  • A. Hat Yai
    Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
  • B. Pattaya
    Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
  • C. Bueng Kan
    Bueng Kan is a northeastern Thai city known as the capital of Bueng Kan Province, situated along the Mekong River near the border with Laos.
  • D. Luangan
    Luangan is an Austronesian language spoken by the Lawangan people of central and eastern Borneo in Indonesia.
  • E. Chumphon
    Chumphon is a coastal city in southern Thailand that serves as a key gateway to the Gulf of Thailand’s islands and the Chumphon Archipelago.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99079c8508190b6208db9affcbc0e completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dad3648190bf360955fbdfb2f0 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177e07508190b46e6a12f09e7986 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f717e72b988190927b628022bcbf12 completed May 3, 2026, 9:39 a.m.
Created at: April 9, 2026, 9:28 p.m.