Triple

T9191068
Position Surface form Disambiguated ID Type / Status
Subject East African languages E220588 entity
Predicate includesLanguage P2177 FINISHED
Object Ganda E275005 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: Ganda | Statement: [East African languages, includesLanguage, Ganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganda
Context triple: [East African languages, includesLanguage, Ganda]
  • A. Ganda chosen
    Ganda is a Bantu language spoken primarily in Uganda, where it serves as a major lingua franca and the language of the Baganda people.
  • B. Ganda
    Ganda was a ruler of the Chandela dynasty in central India, known for governing parts of Bundelkhand during the early medieval period.
  • C. Gandil
    Gandil is the surname of Chick Gandil, an American baseball first baseman best known as a ringleader in the 1919 Black Sox scandal.
  • D. Gwandara
    Gwandara are an ethnic group in central Nigeria known for their distinct language and cultural traditions, primarily inhabiting parts of Nasarawa and neighboring states.
  • E. Guna
    The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bf25c081909e651b67ef8ecc33 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.