Triple

T20834704
Position Surface form Disambiguated ID Type / Status
Subject Mijikenda peoples E512928 entity
Predicate traditionalLanguage P6149 FINISHED
Object Giriama language
The Giriama language is a Bantu language spoken primarily by the Giriama, one of the Mijikenda communities along Kenya’s coastal region.
 E1452011 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: Giriama language | Statement: [Mijikenda peoples, traditionalLanguage, Giriama language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giriama language
Context triple: [Mijikenda peoples, traditionalLanguage, Giriama language]
  • A. Nyamwezi language
    The Nyamwezi language is a Bantu language spoken primarily by the Nyamwezi people of western-central Tanzania.
  • B. Ngindo language
    The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
  • C. Nyungwe language
    Nyungwe is a Bantu language of the Sena–Nyanja group spoken primarily in central Mozambique.
  • D. Lusoga language
    The Lusoga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • E. Mamboru language
    The Mamboru language is an Austronesian language spoken by a small community on Sumba Island in eastern Indonesia.
  • 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: Giriama language
Triple: [Mijikenda peoples, traditionalLanguage, Giriama language]
Generated description
The Giriama language is a Bantu language spoken primarily by the Giriama, one of the Mijikenda communities along Kenya’s coastal region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giriama language
Target entity description: The Giriama language is a Bantu language spoken primarily by the Giriama, one of the Mijikenda communities along Kenya’s coastal region.
  • A. Nyamwezi language
    The Nyamwezi language is a Bantu language spoken primarily by the Nyamwezi people of western-central Tanzania.
  • B. Ngindo language
    The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
  • C. Nyungwe language
    Nyungwe is a Bantu language of the Sena–Nyanja group spoken primarily in central Mozambique.
  • D. Lusoga language
    The Lusoga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • E. Mamboru language
    The Mamboru language is an Austronesian language spoken by a small community on Sumba Island in eastern Indonesia.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32622c481908b8d2159bd5bb0ad completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090084a1c481909a344ee40d846b10 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0900fd590c8190b42faa5c5191189a completed May 16, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0901950c1c8190befa72dc20236b9e completed May 16, 2026, 11:45 p.m.
Created at: April 16, 2026, 12:42 p.m.