Triple

T5375869
Position Surface form Disambiguated ID Type / Status
Subject Katwa Health Zone E108957 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Katwa E131834 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: Katwa | Statement: [Katwa Health Zone, hasAdministrativeCenter, Katwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katwa
Context triple: [Katwa Health Zone, hasAdministrativeCenter, Katwa]
  • A. Katwa chosen
    Katwa is a health zone and town in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
  • B. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • C. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • D. Kwekwe
    Kwekwe is an industrial and mining city in central Zimbabwe known for its steel production and gold mining activities.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aed2a8819089d9e699f53563db completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf293f6458819091c32080782b56ed completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.