Triple

T9821242
Position Surface form Disambiguated ID Type / Status
Subject Daikundi Province E238534 entity
Predicate hasDistrict P459 FINISHED
Object Kiti District E550756 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: Kiti District | Statement: [Daikundi Province, hasDistrict, Kiti District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiti District
Context triple: [Daikundi Province, hasDistrict, Kiti District]
  • A. Kiti District chosen
    Kiti District is an administrative district located within Daykundi Province in central Afghanistan.
  • B. Itezhi-Tezhi District
    Itezhi-Tezhi District is an administrative region in Zambia known for encompassing the Itezhi-Tezhi Dam and parts of the Kafue National Park.
  • C. Katete District
    Katete District is an administrative region in Zambia’s Eastern Province, known for its agricultural communities and its location along the key Great East Road corridor.
  • D. Buvuma District
    Buvuma District is an administrative district in Uganda that encompasses Buvuma Island and surrounding islands in Lake Victoria.
  • E. Buhera District
    Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e41e1b8081908ef5bb31c27c5264 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:31 p.m.