Triple

T9230687
Position Surface form Disambiguated ID Type / Status
Subject Thingyan E221806 entity
Predicate traditionalFood P1016 FINISHED
Object mont let saung
Mont let saung is a traditional Burmese sweet dessert, typically made of rice flour dumplings served in jaggery syrup and coconut milk, commonly enjoyed during the Thingyan water festival.
 E786992 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: mont let saung | Statement: [Thingyan, traditionalFood, mont let saung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: mont let saung
Context triple: [Thingyan, traditionalFood, mont let saung]
  • A. Tazaungdaing
    Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
  • B. Mongnai
    Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
  • C. Mandalay Hill
    Mandalay Hill is a prominent pilgrimage site and scenic hill in Mandalay, Myanmar, famed for its numerous pagodas and panoramic views over the city and the Irrawaddy River.
  • D. Paung
    Paung is a town in southeastern Myanmar that serves as a local center within Mon State.
  • E. Pa’O
    Pa’O is a Karenic ethnic group of Myanmar and Thailand with its own distinct Tibeto-Burman language and cultural traditions.
  • 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: mont let saung
Triple: [Thingyan, traditionalFood, mont let saung]
Generated description
Mont let saung is a traditional Burmese sweet dessert, typically made of rice flour dumplings served in jaggery syrup and coconut milk, commonly enjoyed during the Thingyan water festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: mont let saung
Target entity description: Mont let saung is a traditional Burmese sweet dessert, typically made of rice flour dumplings served in jaggery syrup and coconut milk, commonly enjoyed during the Thingyan water festival.
  • A. Tazaungdaing
    Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
  • B. Mongnai
    Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
  • C. Mandalay Hill
    Mandalay Hill is a prominent pilgrimage site and scenic hill in Mandalay, Myanmar, famed for its numerous pagodas and panoramic views over the city and the Irrawaddy River.
  • D. Paung
    Paung is a town in southeastern Myanmar that serves as a local center within Mon State.
  • E. Pa’O
    Pa’O is a Karenic ethnic group of Myanmar and Thailand with its own distinct Tibeto-Burman language and cultural traditions.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee17a2dc8190b373f78be7247f0d completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077a789f0819087d7f7612bbeaf6a completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d07a23205881909d96450759016e94 completed April 4, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69d07aaf06a08190b721e4b3f5a65c29 completed April 4, 2026, 2:42 a.m.
Created at: March 30, 2026, 7:29 p.m.