Triple

T11355824
Position Surface form Disambiguated ID Type / Status
Subject Sam Yan area, Pathum Wan, Bangkok E268946 entity
Predicate localName P657 FINISHED
Object สามย่าน
สามย่าน คือย่านใจกลางกรุงเทพฯที่เป็นแหล่งชุมชนเก่าแก่ใกล้จุฬาลงกรณ์มหาวิทยาลัย มีชื่อเสียงด้านตลาด ร้านอาหาร และการคมนาคมที่สะดวก
 E920875 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: สามย่าน | Statement: [Sam Yan area, Pathum Wan, Bangkok, localName, สามย่าน]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: สามย่าน
Context triple: [Sam Yan area, Pathum Wan, Bangkok, localName, สามย่าน]
  • A. Ngã Tư Sở
    Ngã Tư Sở is a major traffic junction and commercial hub in southwestern Hanoi, Vietnam, connecting several key urban districts.
  • B. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • C. Liwan Dusun
    Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
  • D. Nong Yai
    Nong Yai is a district-level locality in Thailand known for its rural communities and agricultural landscape within Chonburi Province.
  • E. Tiyan area
    The Tiyan area is a district on the island of Guam that includes the former Naval Air Station and now hosts commercial, governmental, and aviation-related facilities.
  • 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: สามย่าน
Triple: [Sam Yan area, Pathum Wan, Bangkok, localName, สามย่าน]
Generated description
สามย่าน คือย่านใจกลางกรุงเทพฯที่เป็นแหล่งชุมชนเก่าแก่ใกล้จุฬาลงกรณ์มหาวิทยาลัย มีชื่อเสียงด้านตลาด ร้านอาหาร และการคมนาคมที่สะดวก
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: สามย่าน
Target entity description: สามย่าน คือย่านใจกลางกรุงเทพฯที่เป็นแหล่งชุมชนเก่าแก่ใกล้จุฬาลงกรณ์มหาวิทยาลัย มีชื่อเสียงด้านตลาด ร้านอาหาร และการคมนาคมที่สะดวก
  • A. Ngã Tư Sở
    Ngã Tư Sở is a major traffic junction and commercial hub in southwestern Hanoi, Vietnam, connecting several key urban districts.
  • B. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • C. Liwan Dusun
    Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
  • D. Nong Yai
    Nong Yai is a district-level locality in Thailand known for its rural communities and agricultural landscape within Chonburi Province.
  • E. Tiyan area
    The Tiyan area is a district on the island of Guam that includes the former Naval Air Station and now hosts commercial, governmental, and aviation-related facilities.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea404e0c8190befe349b45918b38 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.