Triple

T11592990
Position Surface form Disambiguated ID Type / Status
Subject Kalangala District E274930 entity
Predicate capital P234 FINISHED
Object Kalangala E266638 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: Kalangala | Statement: [Kalangala District, capital, Kalangala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalangala
Context triple: [Kalangala District, capital, Kalangala]
  • A. Kalangala chosen
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • B. Kalangoya
    Kalangoya is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
  • C. Lyantonde
    Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
  • D. Murehwa
    Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
  • E. Nyabira
    Nyabira is a small town in northern Zimbabwe located within Mashonaland West Province, serving as a local commercial and residential center.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7b72c888190b069d0ebaebd31d9 completed April 22, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:38 p.m.