Triple

T16857830
Position Surface form Disambiguated ID Type / Status
Subject Rakai Kayuwangi E409830 entity
Predicate hasHonorific P2097 FINISHED
Object Rakai E409830 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: Rakai | Statement: [Rakai Kayuwangi, hasHonorific, Rakai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakai
Context triple: [Rakai Kayuwangi, hasHonorific, Rakai]
  • A. Kalangala
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • B. Nyamwezi
    Nyamwezi is a Bantu language spoken primarily in northwestern Tanzania by the Nyamwezi people.
  • C. Kigoma
    Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
  • D. Rakai Kayuwangi chosen
    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.
  • E. Rakai District
    Rakai District is a rural administrative district in southern Uganda known for its agricultural economy and its early prominence in the country’s HIV/AIDS epidemic.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a08be48190bd2dbf83205c83ad completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:24 a.m.