Triple

T9793753
Position Surface form Disambiguated ID Type / Status
Subject Nyanza region E237667 entity
Predicate hasTown P847 FINISHED
Object Bondo
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
 E820924 NE FINISHED

How this triple was built (4 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: [Nyanza region, hasTown, Bondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bondo
Context triple: [Nyanza region, hasTown, Bondo]
  • A. Babbitt
    Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
  • B. 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.
  • C. 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.
  • D. LouSeal
    LouSeal is the playful seal mascot of the Columbus Clippers minor league baseball team, entertaining fans at games in Columbus, Ohio.
  • E. Braucol
    Braucol is a red wine grape variety from southwest France, particularly associated with the Gaillac region, known for producing deeply colored, robust wines with spicy, dark-fruit aromas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bondo
Triple: [Nyanza region, hasTown, Bondo]
Generated description
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bondo
Target entity description: Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
  • A. Babbitt
    Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
  • B. 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.
  • C. 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.
  • D. LouSeal
    LouSeal is the playful seal mascot of the Columbus Clippers minor league baseball team, entertaining fans at games in Columbus, Ohio.
  • E. Braucol
    Braucol is a red wine grape variety from southwest France, particularly associated with the Gaillac region, known for producing deeply colored, robust wines with spicy, dark-fruit aromas.
  • F. None of above. chosen

Provenance (5 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4368da88190a70e93ec4d6bef93 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4a087208190b81ae9d40de08ab9 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c4fe71308190ac08e30c98611ed6 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:28 p.m.