Triple

T3554626
Position Surface form Disambiguated ID Type / Status
Subject Shan States E75189 entity
Predicate capital P234 FINISHED
Object Taunggyi
Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
 E368467 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: Taunggyi | Statement: [Shan States, capital, Taunggyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taunggyi
Context triple: [Shan States, capital, Taunggyi]
  • A. Myitkyina
    Myitkyina is the capital of Kachin State in northern Myanmar, known as a key regional center and transport hub near the upper reaches of the Irrawaddy River.
  • B. Lashio
    Lashio is a key town in northern Myanmar that historically served as an important transport and trade hub, particularly during World War II as the inland gateway to the Burma Road.
  • C. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • D. Amarapura
    Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
  • 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: Taunggyi
Triple: [Shan States, capital, Taunggyi]
Generated description
Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taunggyi
Target entity description: Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
  • A. Myitkyina
    Myitkyina is the capital of Kachin State in northern Myanmar, known as a key regional center and transport hub near the upper reaches of the Irrawaddy River.
  • B. Lashio
    Lashio is a key town in northern Myanmar that historically served as an important transport and trade hub, particularly during World War II as the inland gateway to the Burma Road.
  • C. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • D. Amarapura
    Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05549d88190acdebdd542ea1a67 completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bf1c3e881908e7fc3b4df24e72b completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b3b33409788190bdb164bef3ae1bd3 completed March 13, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b3b3ade7ac819095f007f053766852 completed March 13, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:20 p.m.