Triple

T14037714
Position Surface form Disambiguated ID Type / Status
Subject Southwest Bantu E337755 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Ganguela language
The Ganguela language is a Bantu language spoken by the Ganguela people of southwestern Africa, particularly in Angola.
 E1075082 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: Ganguela language | Statement: [Southwest Bantu, hasMemberLanguage, Ganguela language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ganguela language
Context triple: [Southwest Bantu, hasMemberLanguage, Ganguela language]
  • A. Ghanongga language
    The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
  • B. Gonja language
    The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
  • C. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • D. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • E. Kumaoni language
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • 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: Ganguela language
Triple: [Southwest Bantu, hasMemberLanguage, Ganguela language]
Generated description
The Ganguela language is a Bantu language spoken by the Ganguela people of southwestern Africa, particularly in Angola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ganguela language
Target entity description: The Ganguela language is a Bantu language spoken by the Ganguela people of southwestern Africa, particularly in Angola.
  • A. Ghanongga language
    The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
  • B. Gonja language
    The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
  • C. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • D. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • E. Kumaoni language
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33bc20081909abea7e64d1bd578 completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc53729d081908b74532d2ed54b7a completed May 6, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69fbc5d76cdc8190970778580437cf72 completed May 6, 2026, 10:51 p.m.
Created at: April 9, 2026, 10:20 p.m.