Triple

T5948108
Position Surface form Disambiguated ID Type / Status
Subject Bassa E132328 entity
Predicate hasAlternativeName P39 FINISHED
Object Basa E557636 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: Basa | Statement: [Bassa, hasAlternativeName, Basa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basa
Context triple: [Bassa, hasAlternativeName, Basa]
  • A. Basaa chosen
    Basaa is a Bantu language spoken primarily by the Basaa people in Cameroon.
  • B. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • C. Basa Ugi
    Basa Ugi is the native name for the Buginese language spoken by the Bugis people of South Sulawesi, Indonesia.
  • D. Baza
    Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
  • E. Baza
    Baza is a historic town and municipality in southern Spain known for its archaeological heritage and location in the province of Granada, Andalusia.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397c80708190a4778fdb353314b7 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3c4120c8190bab97f91a7bc7030 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:01 p.m.