Triple

T14105070
Position Surface form Disambiguated ID Type / Status
Subject Triggered (freestyle) E339484 entity
Predicate album P1995 FINISHED
Object Chilombo E346271 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: Chilombo | Statement: [Triggered (freestyle), album, Chilombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilombo
Context triple: [Triggered (freestyle), album, Chilombo]
  • A. Chilombo chosen
    Chilombo is the surname of American R&B singer and songwriter Jhené Aiko, reflecting her mixed Japanese, African American, and Native American heritage.
  • B. Chitambo
    Chitambo is a historical locality in present-day Zambia best known as the place where Scottish explorer David Livingstone died in 1873.
  • C. Chambo
    Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
  • D. Kilembe
    Kilembe is a town in western Uganda that serves as a common starting point for treks to the Rwenzori Mountains, including ascents of Margherita Peak.
  • E. Chavuma
    Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbd02888190bf07fd6d8769b61c completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7de2af88190b9ed8cfeece74e50 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.