Triple

T17809130
Position Surface form Disambiguated ID Type / Status
Subject Luang Namtha Province E444650 entity
Predicate contains P35 FINISHED
Object Muang Long
Muang Long is a rural district-level town in northwestern Laos known for its ethnic diversity and remote, mountainous landscapes.
 E1297429 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: Muang Long | Statement: [Luang Namtha Province, contains, Muang Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muang Long
Context triple: [Luang Namtha Province, contains, Muang Long]
  • A. Muang Beng
    Muang Beng is a district-level settlement in northern Laos, located within Oudomxay Province.
  • B. Muang Khoun
    Muang Khoun is a historic town in northern Laos that once served as the royal and administrative center of the Phuan kingdom and remains known for its ancient temples and war-scarred heritage.
  • C. Muang Sing
    Muang Sing is a rural district and town in northwestern Laos known for its ethnic diversity, traditional hill-tribe culture, and proximity to the Chinese border.
  • D. Muang Nga
    Muang Nga is a district-level settlement in northern Laos, located within Oudomxay Province.
  • E. Wat Muang
    Wat Muang is a famous Buddhist temple in Thailand best known for housing one of the world’s largest seated Buddha statues.
  • 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: Muang Long
Triple: [Luang Namtha Province, contains, Muang Long]
Generated description
Muang Long is a rural district-level town in northwestern Laos known for its ethnic diversity and remote, mountainous landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muang Long
Target entity description: Muang Long is a rural district-level town in northwestern Laos known for its ethnic diversity and remote, mountainous landscapes.
  • A. Muang Beng
    Muang Beng is a district-level settlement in northern Laos, located within Oudomxay Province.
  • B. Muang Khoun
    Muang Khoun is a historic town in northern Laos that once served as the royal and administrative center of the Phuan kingdom and remains known for its ancient temples and war-scarred heritage.
  • C. Muang Sing
    Muang Sing is a rural district and town in northwestern Laos known for its ethnic diversity, traditional hill-tribe culture, and proximity to the Chinese border.
  • D. Muang Nga
    Muang Nga is a district-level settlement in northern Laos, located within Oudomxay Province.
  • E. Wat Muang
    Wat Muang is a famous Buddhist temple in Thailand best known for housing one of the world’s largest seated Buddha statues.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887976e48190842840ef064dc772 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03290174fc8190b3e2a417ffd39db6 completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032ae7f4808190ade6b20198aadcba completed May 12, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a032b6033b48190b889bd4d98a58ea2 completed May 12, 2026, 1:30 p.m.
Created at: April 10, 2026, 10:14 a.m.