Triple

T13266526
Position Surface form Disambiguated ID Type / Status
Subject Kachin State E315938 entity
Predicate contains P35 FINISHED
Object Mogaung
Mogaung is a town in northern Myanmar notable as a local administrative and transport center within Kachin State.
E1031235 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: Mogaung | Statement: [Kachin State, contains, Mogaung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogaung
Context triple: [Kachin State, contains, Mogaung]
  • A. Maungdaw
    Maungdaw is a town in Myanmar’s Rakhine State near the border with Bangladesh, known for its ethnically diverse population and its role in regional trade and migration.
  • B. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • C. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • D. Myittha
    Myittha is a town located in Myanmar’s central Mandalay Region.
  • E. Myaungmya
    Myaungmya is a town in southwestern Myanmar known as an agricultural and riverine trade center within the Ayeyarwady Delta.
  • 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: Mogaung
Triple: [Kachin State, contains, Mogaung]
Generated description
Mogaung is a town in northern Myanmar notable as a local administrative and transport center within Kachin State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mogaung
Target entity description: Mogaung is a town in northern Myanmar notable as a local administrative and transport center within Kachin State.
  • A. Maungdaw
    Maungdaw is a town in Myanmar’s Rakhine State near the border with Bangladesh, known for its ethnically diverse population and its role in regional trade and migration.
  • B. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • C. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • D. Myittha
    Myittha is a town located in Myanmar’s central Mandalay Region.
  • E. Myaungmya
    Myaungmya is a town in southwestern Myanmar known as an agricultural and riverine trade center within the Ayeyarwady Delta.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.