Triple

T14100798
Position Surface form Disambiguated ID Type / Status
Subject Agotime Kpetoe E339373 entity
Predicate languageSpoken P151 FINISHED
Object Ewe E53601 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: Ewe | Statement: [Agotime Kpetoe, languageSpoken, Ewe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ewe
Context triple: [Agotime Kpetoe, languageSpoken, Ewe]
  • A. Ewe chosen
    Ewe is a major Niger–Congo language spoken primarily in southeastern Ghana and southern Togo by the Ewe people.
  • B. Mòoré
    Mòoré is a major Gur language spoken primarily by the Mossi people in Burkina Faso and surrounding West African countries.
  • C. Ewenke
    Ewenke is an alternative name for the Evenki language, a Tungusic language spoken by the Evenki people of Siberia and parts of China and Mongolia.
  • D. Fante people
    The Fante people are a major Akan ethnic group from Ghana’s coastal region, known for their historic trading states, rich cultural traditions, and significant influence in Ghanaian politics and education.
  • E. Akposso people
    The Akposso people are an ethnic group of Togo (and neighboring areas) known for their distinct cultural traditions and use of the Ikposo language.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf02638881908eff75453b6a2aab completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.