Triple

T576237
Position Surface form Disambiguated ID Type / Status
Subject Google Translate E13763 entity
Predicate availableLanguage P2177 FINISHED
Object Tsonga E70172 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: Tsonga | Statement: [Google Translate, availableLanguage, Tsonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsonga
Context triple: [Google Translate, availableLanguage, Tsonga]
  • A. Tsonga chosen
    Tsonga is a Bantu language spoken primarily in southern Africa, especially in Mozambique and South Africa, by the Tsonga (Xitsonga) people.
  • B. Lozi
    Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
  • C. Keteleeria
    Keteleeria is a small genus of evergreen coniferous trees native to East and Southeast Asia, known for their tall stature and resemblance to firs and spruces.
  • D. Siyani
    Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
  • E. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4db0248190b2b3ca0290467313 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.