Triple

T19783213
Position Surface form Disambiguated ID Type / Status
Subject Mayyun E475189 entity
Predicate hasNameVariant P457 FINISHED
Object Mayun
Mayun is a variant transliteration of the name "Mayyun," which may refer to a personal name or place name in Arabic-speaking contexts.
E1395948 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: Mayun | Statement: [Mayyun, hasNameVariant, Mayun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayun
Context triple: [Mayyun, hasNameVariant, Mayun]
  • A. Mayong
    Mayong is a village in Assam, India, historically renowned as the "land of black magic" and associated with numerous myths, occult practices, and tantric traditions.
  • B. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • C. Mandalong
    Mandalong is a small rural locality in the Central Coast region of New South Wales, Australia, known for its bushland setting and semi-rural residential properties.
  • D. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • E. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • 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: Mayun
Triple: [Mayyun, hasNameVariant, Mayun]
Generated description
Mayun is a variant transliteration of the name "Mayyun," which may refer to a personal name or place name in Arabic-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mayun
Target entity description: Mayun is a variant transliteration of the name "Mayyun," which may refer to a personal name or place name in Arabic-speaking contexts.
  • A. Mayong
    Mayong is a village in Assam, India, historically renowned as the "land of black magic" and associated with numerous myths, occult practices, and tantric traditions.
  • B. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • C. Mandalong
    Mandalong is a small rural locality in the Central Coast region of New South Wales, Australia, known for its bushland setting and semi-rural residential properties.
  • D. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • E. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65385ee8081908d58cc3ff05b9b23 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4f7966081908d48f096333471f0 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5aea8948190b6e5bbcea8053478 completed May 16, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a07c6846fb481908e1d5aae2c53a7ba completed May 16, 2026, 1:21 a.m.
Created at: April 10, 2026, 1:49 p.m.