Triple

T17347877
Position Surface form Disambiguated ID Type / Status
Subject Ndar E421730 entity
Predicate languageOfName P15 FINISHED
Object Wolof language NE ONNED1

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: Wolof language | Statement: [Ndar, languageOfName, Wolof language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolof language
Context triple: [Ndar, languageOfName, Wolof language]
  • A. Wolof chosen
    Wolof is a major Niger-Congo language spoken primarily in Senegal, The Gambia, and Mauritania, serving as a key lingua franca in the region.
  • B. Jola (Diola) language
    The Jola (Diola) language is a group of Niger-Congo languages spoken primarily by the Jola people of Senegal, Gambia, and Guinea-Bissau, known for their complex noun class systems and rich oral traditions.
  • C. Guinean Fula
    Guinean Fula is a regional variety of the Fula (Fulani) language spoken primarily in Guinea.
  • D. Koyraboro Senni language
    The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
  • E. Casamance Mandinka
    Casamance Mandinka is a regional variety of the Mandinka language spoken primarily in the Casamance area of southern Senegal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2a2ee48190976732e654a40053 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955658b88190bce3fb2b5738afc6 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.