Triple

T13843621
Position Surface form Disambiguated ID Type / Status
Subject Kazinga Channel E332731 entity
Predicate nearbySettlement P350 FINISHED
Object Katunguru E1064009 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: Katunguru | Statement: [Kazinga Channel, nearbySettlement, Katunguru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katunguru
Context triple: [Kazinga Channel, nearbySettlement, Katunguru]
  • A. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • B. Kiunga
    Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
  • C. Kiunga
    Kiunga is a genus of small, freshwater blue-eye fishes native to New Guinea, belonging to the family Pseudomugilidae.
  • D. Kanyaga
    "Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
  • E. Katunguru area chosen
    The Katunguru area is a scenic region in western Uganda near Queen Elizabeth National Park, known for its wildlife-rich riverbanks and panoramic views over the Kazinga Channel.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ef9e7c8190b96c2b83d04708e1 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:13 p.m.