Triple

T2233791
Position Surface form Disambiguated ID Type / Status
Subject Nilo-Saharan phylum E49230 entity
Predicate includesLanguage P2177 FINISHED
Object Teda language E208969 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: Teda language | Statement: [Nilo-Saharan phylum, includesLanguage, Teda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teda language
Context triple: [Nilo-Saharan phylum, includesLanguage, Teda language]
  • A. Teda language chosen
    The Teda language is a Saharan language spoken primarily by the Teda (northern Toubou) people of the Tibesti region in Chad and southern Libya.
  • B. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • C. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • D. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • E. Teso language
    Teso language is an Eastern Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0913f1c8190ac9cfeb0f1c84a76 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b020e308190a6d5a50a8e808aba completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:47 p.m.