Triple

T1965774
Position Surface form Disambiguated ID Type / Status
Subject Bamar E42683 entity
Predicate majorFestival P1819 FINISHED
Object Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
 E218953 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: Tazaungdaing | Statement: [Bamar, majorFestival, Tazaungdaing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tazaungdaing
Context triple: [Bamar, majorFestival, Tazaungdaing]
  • A. Maung Wuntha
    Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
  • B. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • C. Maung
    Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
  • D. Maung Nyein Chan
    Maung Nyein Chan is a Burmese individual notable enough to be recognized as a prominent bearer of the name Maung.
  • E. Maung Thura
    Maung Thura, better known by his stage name Zarganar, is a prominent Burmese comedian, actor, and dissident famed for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
  • 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: Tazaungdaing
Triple: [Bamar, majorFestival, Tazaungdaing]
Generated description
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tazaungdaing
Target entity description: Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
  • A. Maung Wuntha
    Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
  • B. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • C. Maung
    Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
  • D. Maung Nyein Chan
    Maung Nyein Chan is a Burmese individual notable enough to be recognized as a prominent bearer of the name Maung.
  • E. Maung Thura
    Maung Thura, better known by his stage name Zarganar, is a prominent Burmese comedian, actor, and dissident famed for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3aeb20081908b0d447d9fcdbaad completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd52de08190b1df8adb4e2c885d completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.