Triple

T17002797
Position Surface form Disambiguated ID Type / Status
Subject Mwenezi District E412490 entity
Predicate hasSettlement P1068 FINISHED
Object Rutenga E1246112 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: Rutenga | Statement: [Mwenezi District, hasSettlement, Rutenga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutenga
Context triple: [Mwenezi District, hasSettlement, Rutenga]
  • A. Rutenga chosen
    Rutenga is a small town in southern Zimbabwe that serves as an important local commercial and transport hub within Mwenezi District.
  • B. Mbugwe
    Mbugwe are an ethnic group in northern Tanzania known for their distinct Bantu language and cultural traditions.
  • C. Rakai Kayuwangi
    Rakai Kayuwangi was a ruler of the Mataram Kingdom in Central Java, known from Old Javanese inscriptions as one of the early monarchs in the Medang (Mataram) dynasty.
  • D. Rukiga
    Rukiga is a Bantu language spoken primarily by the Bakiga people in southwestern Uganda.
  • E. Mbulu
    Mbulu is a local name for the Congo peafowl, a rare and elusive forest-dwelling bird species native to the Congo Basin in Central Africa.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37f8ba88190b8d32a1d09b6e6fd completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233134288190bbe151f257150dfb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:32 a.m.