Triple

T3736953
Position Surface form Disambiguated ID Type / Status
Subject Gambian Muslims E79607 entity
Predicate language P15 FINISHED
Object Jola E193598 NE FINISHED

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: Jola | Statement: [Gambian Muslims, language, Jola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jola
Context triple: [Gambian Muslims, language, Jola]
  • A. Jola chosen
    Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
  • B. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • C. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • D. Jenne
    Jenne was a prominent medieval West African trading and scholarly city that played a key role in the economic and cultural life of the Songhai Empire.
  • E. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3d32b081909a993a78b0869db8 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db1e4cc48190bfc1078e9b06d2d9 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.