Triple

T5548881
Position Surface form Disambiguated ID Type / Status
Subject Narrow Bantu E145475 entity
Predicate includes P1393 FINISHED
Object Kisukuma language
Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
 E532703 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: Kisukuma language | Statement: [Narrow Bantu, includes, Kisukuma language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kisukuma language
Context triple: [Narrow Bantu, includes, Kisukuma language]
  • A. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • B. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • C. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • D. Jukun language
    The Jukun language is a Niger-Congo language spoken primarily by the Jukun people of central Nigeria, especially in Taraba and surrounding states.
  • E. Kitanemuk language
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • 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: Kisukuma language
Triple: [Narrow Bantu, includes, Kisukuma language]
Generated description
Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kisukuma language
Target entity description: Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • A. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • B. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • C. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • D. Jukun language
    The Jukun language is a Niger-Congo language spoken primarily by the Jukun people of central Nigeria, especially in Taraba and surrounding states.
  • E. Kitanemuk language
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe143ec8190bb67d2530c92a419 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282dd7408190ad762fca9ff5e04b completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c0400d14cc8190a9962cb43fe17d83 completed March 22, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69c0407964d08190b5552b410c9ba915 completed March 22, 2026, 7:18 p.m.
Created at: March 22, 2026, 3:35 p.m.