Triple

T9842130
Position Surface form Disambiguated ID Type / Status
Subject Mandalay Region E239251 entity
Predicate containsTownship P847 FINISHED
Object Ngazun Township
Ngazun Township is an administrative township in central Myanmar, located within the Mandalay Region.
E828750 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: Ngazun Township | Statement: [Mandalay Region, containsTownship, Ngazun Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngazun Township
Context triple: [Mandalay Region, containsTownship, Ngazun Township]
  • A. Nangan Township
    Nangan Township is the main administrative and population center of Taiwan’s Matsu Islands, known for its military history, coastal scenery, and role as a frontline outpost near mainland China.
  • B. Hlegu Township
    Hlegu Township is an administrative township in Myanmar located within the Yangon Region, known for its mix of rural areas and growing peri-urban communities.
  • C. Yamethin Township
    Yamethin Township is an administrative township in central Myanmar, located within the Mandalay Region.
  • D. Pyigyidagun Township
    Pyigyidagun Township is an administrative township and urban area within the city of Mandalay in central Myanmar.
  • E. Tamwe Township
    Tamwe Township is a central urban township of Yangon, Myanmar, known for its dense residential neighborhoods, markets, and prominent religious sites.
  • 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: Ngazun Township
Triple: [Mandalay Region, containsTownship, Ngazun Township]
Generated description
Ngazun Township is an administrative township in central Myanmar, located within the Mandalay Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ngazun Township
Target entity description: Ngazun Township is an administrative township in central Myanmar, located within the Mandalay Region.
  • A. Nangan Township
    Nangan Township is the main administrative and population center of Taiwan’s Matsu Islands, known for its military history, coastal scenery, and role as a frontline outpost near mainland China.
  • B. Hlegu Township
    Hlegu Township is an administrative township in Myanmar located within the Yangon Region, known for its mix of rural areas and growing peri-urban communities.
  • C. Yamethin Township
    Yamethin Township is an administrative township in central Myanmar, located within the Mandalay Region.
  • D. Pyigyidagun Township
    Pyigyidagun Township is an administrative township and urban area within the city of Mandalay in central Myanmar.
  • E. Tamwe Township
    Tamwe Township is a central urban township of Yangon, Myanmar, known for its dense residential neighborhoods, markets, and prominent religious sites.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34e3420819084bb31170e643cd0 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d4079048190976eb198f8ef62f0 completed April 5, 2026, 7:20 a.m.
NEDg Description generation batch_69d20e9f480c819086b0165aa77ddb06 completed April 5, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69d20fa9cab88190bbddcf18b49f8172 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:33 p.m.