Triple

T11168199
Position Surface form Disambiguated ID Type / Status
Subject Myene E264207 entity
Predicate hasDialect P4251 FINISHED
Object Adyumba
Adyumba is a dialect of the Myene language spoken by the Adyumba people of Gabon.
 E908752 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: Adyumba | Statement: [Myene, hasDialect, Adyumba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adyumba
Context triple: [Myene, hasDialect, Adyumba]
  • A. Enyeama
    Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
  • B. Anioma
    Anioma is an Igbo-speaking ethnic subgroup located in the eastern part of Nigeria’s Delta State, known for its distinct cultural identity within the broader Igbo culture.
  • C. Enbilulu
    Enbilulu is a Mesopotamian deity associated with irrigation, canals, and the management of rivers and agricultural waters.
  • D. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • E. Ngwenyama
    Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
  • 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: Adyumba
Triple: [Myene, hasDialect, Adyumba]
Generated description
Adyumba is a dialect of the Myene language spoken by the Adyumba people of Gabon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adyumba
Target entity description: Adyumba is a dialect of the Myene language spoken by the Adyumba people of Gabon.
  • A. Enyeama
    Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
  • B. Anioma
    Anioma is an Igbo-speaking ethnic subgroup located in the eastern part of Nigeria’s Delta State, known for its distinct cultural identity within the broader Igbo culture.
  • C. Enbilulu
    Enbilulu is a Mesopotamian deity associated with irrigation, canals, and the management of rivers and agricultural waters.
  • D. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • E. Ngwenyama
    Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e88843cc81909e503f0921c6d297 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463945e40819087c6bdbc322a6d54 completed April 19, 2026, 5:09 a.m.
NEDg Description generation batch_69e46c37efec81908aa709587c37569d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e47292cdd08190b05c4c8b09f4f918 completed April 19, 2026, 6:13 a.m.
Created at: April 8, 2026, 9:29 p.m.