Triple

T6528371
Position Surface form Disambiguated ID Type / Status
Subject Casamance Creole E151362 entity
Predicate contactLanguageWith P71434 FINISHED
Object Jola-Fonyi 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-Fonyi | Statement: [Casamance Creole, contactLanguageWith, Jola-Fonyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jola-Fonyi
Context triple: [Casamance Creole, contactLanguageWith, Jola-Fonyi]
  • A. Jola chosen
    Jola is a Niger–Congo language spoken primarily by the Jola people of southern Senegal and neighboring regions.
  • B. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • C. Vatia
    Vatia is a coastal village in American Samoa known for its scenic bay, traditional Samoan culture, and proximity to the National Park of American Samoa.
  • D. Buurba Jolof
    Buurba Jolof was the royal title borne by the kings who ruled the historic Wolof Empire in what is now Senegal.
  • E. Bologoye
    Bologoye is a small town in western Russia known as a railway junction and transport hub between Moscow and St. Petersburg.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada9c8408190b1bc327985366be9 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52ca9988190addfdae6d7b53a6e completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:46 p.m.