Triple

T23256778
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Sierra Leone E581895 entity
Predicate hasLanguage P15 FINISHED
Object Krio language E91486 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: Krio language | Statement: [Northwestern Sierra Leone, hasLanguage, Krio language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krio language
Context triple: [Northwestern Sierra Leone, hasLanguage, Krio language]
  • A. Krio language chosen
    Krio is an English-based creole language spoken primarily in Sierra Leone, where it serves as a major lingua franca among diverse ethnic groups.
  • B. Konjo language
    The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
  • C. Grebo language
    The Grebo language is a Kru language spoken primarily in Liberia by the Grebo people, featuring several dialects and a rich oral tradition.
  • D. Kisi language
    The Kisi language is a Southern Atlantic language spoken primarily in parts of Guinea, Sierra Leone, and Liberia by the Kisi people.
  • E. Ebira language
    Ebira language is a Nupoid language of the Niger-Congo family spoken primarily by the Ebira people in central Nigeria.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c4905c819099ca21c6529413ac completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6be3ec8190be316ae03c3b3729 completed May 19, 2026, 10:46 a.m.
Created at: April 17, 2026, 4:11 p.m.