Triple

T5335365
Position Surface form Disambiguated ID Type / Status
Subject Sabaki languages E123812 entity
Predicate includeLanguage P2177 FINISHED
Object Chimwiini
Chimwiini is a Bantu language of the Sabaki subgroup spoken primarily along the southern Somali coast, closely related to Swahili.
 E512925 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: Chimwiini | Statement: [Sabaki languages, includeLanguage, Chimwiini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chimwiini
Context triple: [Sabaki languages, includeLanguage, Chimwiini]
  • A. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • B. Zuchu
    Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
  • C. Wamba
    Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
  • D. Wamba
    Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
  • E. Mwaghavul
    Mwaghavul is a Chadic language spoken primarily by the Mwaghavul people in Plateau State, central Nigeria.
  • 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: Chimwiini
Triple: [Sabaki languages, includeLanguage, Chimwiini]
Generated description
Chimwiini is a Bantu language of the Sabaki subgroup spoken primarily along the southern Somali coast, closely related to Swahili.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chimwiini
Target entity description: Chimwiini is a Bantu language of the Sabaki subgroup spoken primarily along the southern Somali coast, closely related to Swahili.
  • A. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • B. Zuchu
    Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
  • C. Wamba
    Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
  • D. Wamba
    Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
  • E. Mwaghavul
    Mwaghavul is a Chadic language spoken primarily by the Mwaghavul people in Plateau State, central Nigeria.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85af799081909ee60bfbb65149ee completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18be4bb88190a2b83e51716e677e completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf194c53a48190b0895bbe9aa2f6f1 completed March 21, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69bf1a198418819089b25102733f9191 completed March 21, 2026, 10:22 p.m.
Created at: March 20, 2026, 2 p.m.