Triple

T10165676
Position Surface form Disambiguated ID Type / Status
Subject Kwanzaa E235198 entity
Predicate corePrinciple P533 FINISHED
Object Kuumba
Kuumba is one of the seven principles of Kwanzaa, emphasizing creativity in building and beautifying the community.
E845720 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: Kuumba | Statement: [Kwanzaa, corePrinciple, Kuumba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuumba
Context triple: [Kwanzaa, corePrinciple, Kuumba]
  • A. Pukumina
    Pukumina is a Jamaican Afro-Christian religious tradition blending African spiritual practices with Christian elements, known for spirit possession, drumming, and healing rituals.
  • B. Kunza
    Kunza is an extinct indigenous language once spoken by the Atacameño (Likan Antai) people of northern Chile’s Atacama Desert region.
  • C. Kambaata
    Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
  • D. Kasama
    Kasama is a major town in northern Zambia that serves as the administrative and commercial center of the Northern Province.
  • E. Kulisusu
    Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, 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: Kuumba
Triple: [Kwanzaa, corePrinciple, Kuumba]
Generated description
Kuumba is one of the seven principles of Kwanzaa, emphasizing creativity in building and beautifying the community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuumba
Target entity description: Kuumba is one of the seven principles of Kwanzaa, emphasizing creativity in building and beautifying the community.
  • A. Pukumina
    Pukumina is a Jamaican Afro-Christian religious tradition blending African spiritual practices with Christian elements, known for spirit possession, drumming, and healing rituals.
  • B. Kunza
    Kunza is an extinct indigenous language once spoken by the Atacameño (Likan Antai) people of northern Chile’s Atacama Desert region.
  • C. Kambaata
    Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
  • D. Kasama
    Kasama is a major town in northern Zambia that serves as the administrative and commercial center of the Northern Province.
  • E. Kulisusu
    Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6cf27481909f38839452ac0e37 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300d672fc8190ad5b937d02a737fd completed April 6, 2026, 12:39 a.m.
NEDg Description generation batch_69d30254aabc8190966a4398c59a851e completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30305924c8190998cbefa372dca9a completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:10 p.m.