Triple

T1128789
Position Surface form Disambiguated ID Type / Status
Subject Cameroon E24780 entity
Predicate recognizedLanguage P238 FINISHED
Object Bassa
Bassa is a Bantu language spoken primarily by the Bassa people of Cameroon and neighboring regions.
 E132328 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: Bassa | Statement: [Cameroon, recognizedLanguage, Bassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bassa
Context triple: [Cameroon, recognizedLanguage, Bassa]
  • A. Guaduas
    Guaduas is a historic town and municipality in the Cundinamarca Department of Colombia, known for its colonial architecture and role in the country’s independence era.
  • B. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • C. Urera
    Urera is a genus of flowering plants in the nettle family, known for its often stinging hairs and occurrence in tropical and subtropical regions.
  • D. Dila
    Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
  • E. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • 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: Bassa
Triple: [Cameroon, recognizedLanguage, Bassa]
Generated description
Bassa is a Bantu language spoken primarily by the Bassa people of Cameroon and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bassa
Target entity description: Bassa is a Bantu language spoken primarily by the Bassa people of Cameroon and neighboring regions.
  • A. Guaduas
    Guaduas is a historic town and municipality in the Cundinamarca Department of Colombia, known for its colonial architecture and role in the country’s independence era.
  • B. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • C. Urera
    Urera is a genus of flowering plants in the nettle family, known for its often stinging hairs and occurrence in tropical and subtropical regions.
  • D. Dila
    Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
  • E. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdea9b88190a88da718bf5c1897 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eab1e6481908c175e175ae4743a completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f6ced108190bf635a0d8b3b22a5 completed March 7, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69ac5feabffc819082f5d28f9628558f completed March 7, 2026, 5:27 p.m.
Created at: March 1, 2026, 7:44 p.m.