Triple

T8278166
Position Surface form Disambiguated ID Type / Status
Subject Jola language E193598 entity
Predicate hasDialect P4251 FINISHED
Object Jola-Kasa 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-Kasa | Statement: [Jola language, hasDialect, Jola-Kasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jola-Kasa
Context triple: [Jola language, hasDialect, Jola-Kasa]
  • A. Jola chosen
    Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
  • B. Djenne
    Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
  • C. Joal
    Joal is a historic coastal town in present-day Senegal that served as an important Atlantic trading port in the era of the Wolof Empire.
  • D. Senegal
    Senegal is a West African country on the Atlantic coast known for its vibrant culture, historic role in transatlantic trade, and diverse coastal and Sahelian landscapes.
  • E. Djibloho
    Djibloho is a planned administrative capital city and province of Equatorial Guinea located in the mainland region of Río Muni.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ebb6b88190bc777b8bd72fcdbc completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6863c22c8190b888a23bb9005712 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:51 p.m.