Triple

T10837251
Position Surface form Disambiguated ID Type / Status
Subject Berta E255792 entity
Predicate hasDialect P4251 FINISHED
Object Mayu
Mayu is a regional dialect of the Berta language, spoken by Berta communities in parts of northeastern Africa.
E893170 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: Mayu | Statement: [Berta, hasDialect, Mayu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayu
Context triple: [Berta, hasDialect, Mayu]
  • A. Miyako
    Miyako is a coastal city in northeastern Japan known for its scenic ria coastline and proximity to Sanriku Fukko National Park.
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Miyuki
    Miyuki is a Japanese given name commonly used for women and associated with meanings such as "beautiful happiness" or "deep snow," depending on the kanji used.
  • D. Shizu
    Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
  • E. Makiko
    Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
  • 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: Mayu
Triple: [Berta, hasDialect, Mayu]
Generated description
Mayu is a regional dialect of the Berta language, spoken by Berta communities in parts of northeastern Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mayu
Target entity description: Mayu is a regional dialect of the Berta language, spoken by Berta communities in parts of northeastern Africa.
  • A. Miyako
    Miyako is a coastal city in northeastern Japan known for its scenic ria coastline and proximity to Sanriku Fukko National Park.
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Miyuki
    Miyuki is a Japanese given name commonly used for women and associated with meanings such as "beautiful happiness" or "deep snow," depending on the kanji used.
  • D. Shizu
    Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
  • E. Makiko
    Makiko is a Japanese feminine given name commonly borne by women in Japan and of Japanese heritage.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2166293808190b7ed1620dfc8a158 completed April 17, 2026, 11:15 a.m.
NEDg Description generation batch_69e21d860d288190855ffbe60df50df9 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21f09be508190a7c497a7680cb59e completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:19 p.m.