Triple

T10611706
Position Surface form Disambiguated ID Type / Status
Subject King Thibaw Min E276022 entity
Predicate spouse P13 FINISHED
Object Supayagyi
Supayagyi was a principal queen consort of Burma’s last monarch, King Thibaw Min, during the final years of the Konbaung Dynasty.
E874822 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: Supayagyi | Statement: [King Thibaw Min, spouse, Supayagyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Supayagyi
Context triple: [King Thibaw Min, spouse, Supayagyi]
  • 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. Myaungmya
    Myaungmya is a town in southwestern Myanmar known as an agricultural and riverine trade center within the Ayeyarwady Delta.
  • C. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • D. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • E. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • 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: Supayagyi
Triple: [King Thibaw Min, spouse, Supayagyi]
Generated description
Supayagyi was a principal queen consort of Burma’s last monarch, King Thibaw Min, during the final years of the Konbaung Dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Supayagyi
Target entity description: Supayagyi was a principal queen consort of Burma’s last monarch, King Thibaw Min, during the final years of the Konbaung Dynasty.
  • 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. Myaungmya
    Myaungmya is a town in southwestern Myanmar known as an agricultural and riverine trade center within the Ayeyarwady Delta.
  • C. Thabeikkyin
    Thabeikkyin is a town in central Myanmar situated along the Ayeyarwady River within the country’s Mandalay Region.
  • D. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • E. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5a1450819082ad445712fb7868 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ec61b388190adee9b3577567709 completed April 10, 2026, 8:34 p.m.
NEDg Description generation batch_69d95f824b3081908561f0d3748e3713 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9600a29808190af583d2fd696ec6a completed April 10, 2026, 8:39 p.m.
Created at: April 8, 2026, 7:33 p.m.