Triple

T14998553
Position Surface form Disambiguated ID Type / Status
Subject Same District E374022 entity
Predicate hasBorderWith P224 FINISHED
Object Mwanga District E375326 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: Mwanga District | Statement: [Same District, hasBorderWith, Mwanga District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mwanga District
Context triple: [Same District, hasBorderWith, Mwanga District]
  • A. Mwanga District chosen
    Mwanga District is an administrative district in northeastern Tanzania, located within the Kilimanjaro Region near the border with Kenya.
  • B. Misungwi District
    Misungwi District is an administrative district in northern Tanzania known for its rural communities and location within the Mwanza Region near Lake Victoria.
  • C. Kiryandongo District
    Kiryandongo District is a central Ugandan district known for its agricultural communities and strategic location along major transport routes between Kampala and northern Uganda.
  • D. Kwimba District
    Kwimba District is an administrative district in northern Tanzania known for its predominantly rural communities and agriculture-based economy within the Mwanza Region.
  • E. Buliisa District
    Buliisa District is a rural administrative district in western Uganda along the shores of Lake Albert, known for its oil reserves and wildlife-rich areas near Murchison Falls National Park.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff677b7be08190afc2767835836908 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 2:54 a.m.