Triple

T14701651
Position Surface form Disambiguated ID Type / Status
Subject Fika E345315 entity
Predicate languageUsed P238 FINISHED
Object Fulfulde E59898 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: Fulfulde | Statement: [Fika, languageUsed, Fulfulde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fulfulde
Context triple: [Fika, languageUsed, Fulfulde]
  • A. Fulfulde chosen
    Fulfulde is a widely spoken West African language of the Fulani people, used as a lingua franca across parts of the Sahel including northern Nigeria.
  • B. Elfdalian
    Elfdalian is a highly conservative North Germanic language spoken in the Älvdalen region of Sweden, preserving many archaic features lost in other Scandinavian languages.
  • C. Cagwait
    Cagwait is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its scenic white-sand beach and annual Kaliguan Festival.
  • D. Gorani
    Gorani are a Slavic Muslim ethnic group native to the mountainous Gora region spanning parts of Kosovo, Albania, and North Macedonia, known for their distinct dialect and cultural traditions.
  • E. Gorani
    Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb605f5948190ab6b20887c4b6833 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb807af081908dd56caf3d06550f completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:28 a.m.