Triple

T19782791
Position Surface form Disambiguated ID Type / Status
Subject Western Province, Zambia E475179 entity
Predicate hasSettlement P1068 FINISHED
Object Kalabo NE NERFINISHED

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: Kalabo | Statement: [Western Province, Zambia, hasSettlement, Kalabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalabo
Context triple: [Western Province, Zambia, hasSettlement, Kalabo]
  • A. Kalabo chosen
    Kalabo is a significant town in western Zambia’s Barotseland region, serving as a local administrative and commercial center near the Zambezi floodplains.
  • B. Belabo
    Belabo is a town in eastern Cameroon that serves as an important junction and stop along the Transcameroon Railway.
  • C. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • D. Gubarra
    Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • E. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653852e848190b8971981a164e8f9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.