Triple

T10371035
Position Surface form Disambiguated ID Type / Status
Subject Ayeyarwady Region E244382 entity
Predicate contains P35 FINISHED
Object Myaungmya
Myaungmya is a town in southwestern Myanmar known as an agricultural and riverine trade center within the Ayeyarwady Delta.
E861472 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: Myaungmya | Statement: [Ayeyarwady Region, contains, Myaungmya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myaungmya
Context triple: [Ayeyarwady Region, contains, Myaungmya]
  • A. Nyaungshwe
    Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
  • B. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • C. Myingyan
    Myingyan is a town in central Myanmar known as a commercial and transport hub along the Irrawaddy River in the Mandalay Region.
  • D. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • E. Mawlamyine
    Mawlamyine is a coastal city in southeastern Myanmar and the capital of Mon State, known historically as an important port and cultural center.
  • 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: Myaungmya
Triple: [Ayeyarwady Region, contains, Myaungmya]
Generated description
Myaungmya is a town in southwestern Myanmar known as an agricultural and riverine trade center within the Ayeyarwady Delta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Myaungmya
Target entity description: Myaungmya is a town in southwestern Myanmar known as an agricultural and riverine trade center within the Ayeyarwady Delta.
  • A. Nyaungshwe
    Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
  • B. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • C. Myingyan
    Myingyan is a town in central Myanmar known as a commercial and transport hub along the Irrawaddy River in the Mandalay Region.
  • D. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • E. Mawlamyine
    Mawlamyine is a coastal city in southeastern Myanmar and the capital of Mon State, known historically as an important port and cultural center.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
NEDg Description generation batch_69d822d303888190aa556287b3b1cc03 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859b05a3881908c97cb173d160e44 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 12:01 p.m.