Triple

T16221815
Position Surface form Disambiguated ID Type / Status
Subject Manguissa language E393744 entity
Predicate glottologName P6521 FINISHED
Object Manguissa
Manguissa is a Bantu language spoken by the Manguissa people in Cameroon.
E1200464 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: Manguissa | Statement: [Manguissa language, glottologName, Manguissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manguissa
Context triple: [Manguissa language, glottologName, Manguissa]
  • A. Moussa
    Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
  • B. Mamoudou
    Mamoudou is a masculine given name of West African origin, notably borne by Mauritanian-American actor Mamoudou Athie.
  • C. Si Moussa
    Si Moussa was a powerful 19th-century grand vizier of Morocco who served under Sultan Hassan I and commissioned the opulent Bahia Palace in Marrakech.
  • D. Hamidou
    Hamidou is a brutal Turkish prison guard and primary antagonist in the film "Midnight Express."
  • E. Sévaré
    Sévaré is a town in central Mali that serves as a key transport and logistical hub near the city of Mopti.
  • 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: Manguissa
Triple: [Manguissa language, glottologName, Manguissa]
Generated description
Manguissa is a Bantu language spoken by the Manguissa people in Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manguissa
Target entity description: Manguissa is a Bantu language spoken by the Manguissa people in Cameroon.
  • A. Moussa
    Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
  • B. Mamoudou
    Mamoudou is a masculine given name of West African origin, notably borne by Mauritanian-American actor Mamoudou Athie.
  • C. Si Moussa
    Si Moussa was a powerful 19th-century grand vizier of Morocco who served under Sultan Hassan I and commissioned the opulent Bahia Palace in Marrakech.
  • D. Hamidou
    Hamidou is a brutal Turkish prison guard and primary antagonist in the film "Midnight Express."
  • E. Sévaré
    Sévaré is a town in central Mali that serves as a key transport and logistical hub near the city of Mopti.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0008d53b6081908d66b2c09e8b2565 completed May 10, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_6a00096cabec81908fec25052e9cf4f8 completed May 10, 2026, 4:28 a.m.
Created at: April 10, 2026, 5:03 a.m.