Triple

T20834789
Position Surface form Disambiguated ID Type / Status
Subject BAKIZA E512931 entity
Predicate shortName P43 FINISHED
Object BAKIZA NE NERFINISHED

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: BAKIZA | Statement: [BAKIZA, shortName, BAKIZA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAKIZA
Context triple: [BAKIZA, shortName, BAKIZA]
  • A. BAKIZA chosen
    BAKIZA is the official Swahili language council of Zanzibar responsible for promoting, standardizing, and developing Kiswahili in the region.
  • B. Bakish
    Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
  • C. BAKITA
    BAKITA is Tanzania’s national Kiswahili council responsible for developing, standardizing, and promoting the Kiswahili language.
  • D. Baketalun
    Baketalun was an ancient Egyptian queen consort of the 20th Dynasty pharaoh Ramesses IX.
  • E. BAK
    BAK is the acronym for the Swiss Federal Office of Culture, the national authority responsible for promoting and preserving Switzerland’s cultural heritage and arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32622c481908b8d2159bd5bb0ad completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.