Triple

T8222840
Position Surface form Disambiguated ID Type / Status
Subject Soshanguve E192104 entity
Predicate hasEthnolinguisticGroups P12220 FINISHED
Object Venda E52951 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: Venda | Statement: [Soshanguve, hasEthnolinguisticGroups, Venda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venda
Context triple: [Soshanguve, hasEthnolinguisticGroups, Venda]
  • A. Venda chosen
    Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
  • B. Loja
    Loja is a city in southern Ecuador known as a cultural and musical center nestled in the Andean highlands.
  • C. Loja
    Loja is a historic town in the province of Granada, Spain, known for its strategic location between Granada and the coast and its role in the final stages of the Reconquista.
  • D. Vendas Novas
    Vendas Novas is a Portuguese town and municipality in the Alentejo region, known for its strategic location between Lisbon and Évora and its traditional bifanas (pork sandwiches).
  • E. Feira Nova
    Feira Nova is a small municipality located in the semi-arid interior region of the state of Sergipe, Brazil.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cae2948190ae4507b75b5d5784 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee09ac548190a9988ff77d43e77e completed April 1, 2026, 10:06 a.m.
Created at: March 30, 2026, 5:45 p.m.