Triple

T12294641
Position Surface form Disambiguated ID Type / Status
Subject Jinja District E293051 entity
Predicate borders P224 FINISHED
Object Kayunga District E283668 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: Kayunga District | Statement: [Jinja District, borders, Kayunga District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kayunga District
Context triple: [Jinja District, borders, Kayunga District]
  • A. Kayunga District chosen
    Kayunga District is an administrative region in central Uganda known for its agricultural communities and its location along the Victoria Nile.
  • B. Chuadanga District
    Chuadanga District is an administrative region in southwestern Bangladesh known for its agricultural economy and location along the border with India.
  • C. Ganja District
    Ganja District is an administrative region centered around the city of Ganja, a major urban and historical hub in Azerbaijan.
  • D. Morang District
    Morang District is an administrative district in eastern Nepal known for its industrial hub Biratnagar and its role as a major economic and population center of the country.
  • E. Loralai District
    Loralai District is an administrative district in northeastern Balochistan, Pakistan, known for its predominantly Pashtun population and mountainous terrain.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.