Triple

T11921573
Position Surface form Disambiguated ID Type / Status
Subject Kayunga District E283668 entity
Predicate borders P224 FINISHED
Object Jinja District E293051 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: Jinja District | Statement: [Kayunga District, borders, Jinja District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinja District
Context triple: [Kayunga District, borders, Jinja District]
  • A. Jinja District chosen
    Jinja District is an administrative region in eastern Uganda known for encompassing the source area of the Nile and serving as a key industrial and commercial hub.
  • B. Bondo District
    Bondo District was a former administrative district in western Kenya, located near Lake Victoria in the Nyanza region.
  • C. Yosa District
    Yosa District is a rural administrative district in northern Kyoto Prefecture, Japan, known for its coastal landscapes along the Sea of Japan and traditional fishing and farming communities.
  • D. Kaira district
    Kaira district is the former name of Kheda district, an administrative region in the state of Gujarat, India, known historically for its role in the Indian independence movement.
  • E. Kasa District
    Kasa District was a former rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and villages before being dissolved through municipal mergers.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e1b08481909ed291667035f330 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a74cd8c8190a1b2aac622b11edc completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:45 p.m.