Triple

T22726504
Position Surface form Disambiguated ID Type / Status
Subject Grassfields E562007 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Nso NE NERFINISHED

How this triple was built (2 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: Nso | Statement: [Grassfields, hasEthnicGroup, Nso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nso
Context triple: [Grassfields, hasEthnicGroup, Nso]
  • A. Nso chosen
    Nso is a traditional kingdom and ethnic community in Cameroon’s Northwest Region, known for its rich cultural heritage and influential chieftaincy.
  • B. nso
    "nso" is the ISO 639-2 language code for Northern Sotho, a Bantu language spoken primarily in South Africa.
  • C. Nonso
    Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
  • D. Nuosu
    Nuosu are a subgroup of the Yi people in southwest China, known for their distinct Tibeto-Burman language, script, and highland culture.
  • E. NSOU
    NSOU is a distance-learning public university in West Bengal, India, named after freedom fighter Netaji Subhas Chandra Bose.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1792a2ee48190bfbdde1a72adfd25 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.