Triple

T2165475
Position Surface form Disambiguated ID Type / Status
Subject US Organization E46898 entity
Predicate promotedConcept P1258 FINISHED
Object Nguzo Saba
Nguzo Saba is a set of seven African-centered principles that form the philosophical and ethical foundation of the Kwanzaa holiday and related cultural practices.
E240694 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: Nguzo Saba | Statement: [US Organization, promotedConcept, Nguzo Saba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nguzo Saba
Context triple: [US Organization, promotedConcept, Nguzo Saba]
  • A. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • D. Nodwengu
    Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
  • E. Mwanza
    Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
  • 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: Nguzo Saba
Triple: [US Organization, promotedConcept, Nguzo Saba]
Generated description
Nguzo Saba is a set of seven African-centered principles that form the philosophical and ethical foundation of the Kwanzaa holiday and related cultural practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nguzo Saba
Target entity description: Nguzo Saba is a set of seven African-centered principles that form the philosophical and ethical foundation of the Kwanzaa holiday and related cultural practices.
  • A. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • D. Nodwengu
    Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
  • E. Mwanza
    Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeaa14bc81908486683decd7ae42 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f044b8819092c58022383d3468 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5972d3d4819082f8896f12126422 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a10607881909849a72201399d62 completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.