Triple

T11168180
Position Surface form Disambiguated ID Type / Status
Subject mye E264207 entity
Predicate represents P129 FINISHED
Object Myene language
The Myene language is a Bantu language spoken primarily along the coast of Gabon by the Myene people.
 E908747 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: Myene language | Statement: [mye, represents, Myene language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Myene language
Context triple: [mye, represents, Myene language]
  • A. Minyag language
    The Minyag language is a lesser-known Qiangic language spoken by the Minyag people in parts of western Sichuan, China.
  • B. Muinane language
    The Muinane language is an indigenous Witotoan language spoken by the Muinane people of the Colombian Amazon.
  • C. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • D. Mehináku language
    The Mehináku language is an indigenous Arawakan language spoken by the Mehinaku people of Brazil’s Upper Xingu region in the Amazon.
  • E. Nambya language
    Nambya is a Bantu language spoken primarily in northwestern Zimbabwe and northeastern Botswana, closely related to Kalanga and used by the Nambya people.
  • 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: Myene language
Triple: [mye, represents, Myene language]
Generated description
The Myene language is a Bantu language spoken primarily along the coast of Gabon by the Myene people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Myene language
Target entity description: The Myene language is a Bantu language spoken primarily along the coast of Gabon by the Myene people.
  • A. Minyag language
    The Minyag language is a lesser-known Qiangic language spoken by the Minyag people in parts of western Sichuan, China.
  • B. Muinane language
    The Muinane language is an indigenous Witotoan language spoken by the Muinane people of the Colombian Amazon.
  • C. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • D. Mehináku language
    The Mehináku language is an indigenous Arawakan language spoken by the Mehinaku people of Brazil’s Upper Xingu region in the Amazon.
  • E. Nambya language
    Nambya is a Bantu language spoken primarily in northwestern Zimbabwe and northeastern Botswana, closely related to Kalanga and used by the Nambya people.
  • 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.