Triple

T8834365
Position Surface form Disambiguated ID Type / Status
Subject Aung San E210227 entity
Predicate placeOfBirth P1 FINISHED
Object Natmauk
Natmauk is a town in central Myanmar best known as the birthplace of national independence hero General Aung San.
 E760070 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: Natmauk | Statement: [Aung San, placeOfBirth, Natmauk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natmauk
Context triple: [Aung San, placeOfBirth, Natmauk]
  • A. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • B. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • C. Neltume
    Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
  • D. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • E. Naubise
    Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
  • 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: Natmauk
Triple: [Aung San, placeOfBirth, Natmauk]
Generated description
Natmauk is a town in central Myanmar best known as the birthplace of national independence hero General Aung San.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natmauk
Target entity description: Natmauk is a town in central Myanmar best known as the birthplace of national independence hero General Aung San.
  • A. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • B. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • C. Neltume
    Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
  • D. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • E. Naubise
    Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60686cac8190b3138db40b6fe058 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf8975a6f481908ee435d0435c8ffb completed April 3, 2026, 9:33 a.m.
NEDg Description generation batch_69cf8a8e5db0819080e6fdc3d8322e94 completed April 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b8849ec8190915fa087b1b46c18 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:47 p.m.