Triple

T10304764
Position Surface form Disambiguated ID Type / Status
Subject Magway Region E241721 entity
Predicate hasTown P847 FINISHED
Object Thayet
Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
 E854231 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: Thayet | Statement: [Magway Region, hasTown, Thayet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thayet
Context triple: [Magway Region, hasTown, Thayet]
  • A. Tashmetu
    Tashmetu is a Mesopotamian goddess associated with mercy and the granting of prayers, venerated alongside the god Nabu.
  • B. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • C. Sopdet
    Sopdet is the ancient Egyptian goddess personifying the star Sirius, associated with the Nile’s annual flooding and the Egyptian New Year.
  • D. Tamyen
    Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
  • E. Raneb
    Raneb was an early ancient Egyptian pharaoh of the Second Dynasty, known for his association with the sun god Ra and for helping consolidate royal power in the formative period of the Egyptian state.
  • 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: Thayet
Triple: [Magway Region, hasTown, Thayet]
Generated description
Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thayet
Target entity description: Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
  • A. Tashmetu
    Tashmetu is a Mesopotamian goddess associated with mercy and the granting of prayers, venerated alongside the god Nabu.
  • B. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • C. Sopdet
    Sopdet is the ancient Egyptian goddess personifying the star Sirius, associated with the Nile’s annual flooding and the Egyptian New Year.
  • D. Tamyen
    Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
  • E. Raneb
    Raneb was an early ancient Egyptian pharaoh of the Second Dynasty, known for his association with the sun god Ra and for helping consolidate royal power in the formative period of the Egyptian state.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d308f034819098da69b963eb8a02 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d58416081909a010e905d70e934 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:45 a.m.