Triple

T22909299
Position Surface form Disambiguated ID Type / Status
Subject Océan E568544 entity
Predicate contains P35 FINISHED
Object Mvengue
Mvengue is a locality situated along the Atlantic coast of Gabon in Central Africa.
 E1567664 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: Mvengue | Statement: [Océan, contains, Mvengue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mvengue
Context triple: [Océan, contains, Mvengue]
  • A. Mazangé
    Mazangé is a small commune in the Loir-et-Cher department of central France, situated within the arrondissement of Vendôme.
  • B. Mbengwi
    Mbengwi is a town in western Cameroon that serves as the administrative center of Momo Division in the country's Northwest Region.
  • C. Mvele
    Mvele is a Bantu language spoken by the Beti-Pahuin people in parts of Central Africa, particularly in Cameroon.
  • D. Mohombi
    Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
  • E. Mpongwe
    Mpongwe is a Bantu language variety spoken primarily in Gabon, recognized as one of the main dialects of the Myene language cluster.
  • 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: Mvengue
Triple: [Océan, contains, Mvengue]
Generated description
Mvengue is a locality situated along the Atlantic coast of Gabon in Central Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mvengue
Target entity description: Mvengue is a locality situated along the Atlantic coast of Gabon in Central Africa.
  • A. Mazangé
    Mazangé is a small commune in the Loir-et-Cher department of central France, situated within the arrondissement of Vendôme.
  • B. Mbengwi
    Mbengwi is a town in western Cameroon that serves as the administrative center of Momo Division in the country's Northwest Region.
  • C. Mvele
    Mvele is a Bantu language spoken by the Beti-Pahuin people in parts of Central Africa, particularly in Cameroon.
  • D. Mohombi
    Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
  • E. Mpongwe
    Mpongwe is a Bantu language variety spoken primarily in Gabon, recognized as one of the main dialects of the Myene language cluster.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18072986881909eefb317ced5a145 completed April 29, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ac3832c8190b848a06e3671e9d6 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0c87a8248190ac12f7922514bae5 completed May 19, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0ce1b7e88190aad2dbea6133b615 completed May 19, 2026, 7:10 a.m.
Created at: April 17, 2026, 3:42 p.m.