Triple

T10924404
Position Surface form Disambiguated ID Type / Status
Subject Jaramogi Oginga Odinga E258028 entity
Predicate placeOfBirth P1 FINISHED
Object Bondo E820924 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: Bondo | Statement: [Jaramogi Oginga Odinga, placeOfBirth, Bondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bondo
Context triple: [Jaramogi Oginga Odinga, placeOfBirth, Bondo]
  • A. Bondo chosen
    Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
  • B. Babbitt
    Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
  • C. Babbitt
    Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
  • D. Olite
    Olite is a historic town in northern Spain renowned for its well-preserved medieval architecture and the royal palace of the kings of Navarre.
  • E. Glue
    "Glue" is a novel by Scottish author Irvine Welsh that follows the intertwined lives of four working-class friends in Edinburgh over several decades.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:22 p.m.