Triple

T10924473
Position Surface form Disambiguated ID Type / Status
Subject Kendu Bay E258029 entity
Predicate nearbyTown P3883 FINISHED
Object Homa Bay E263452 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: Homa Bay | Statement: [Kendu Bay, nearbyTown, Homa Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Homa Bay
Context triple: [Kendu Bay, nearbyTown, Homa Bay]
  • A. Homa Bay District chosen
    Homa Bay District was a former administrative district in western Kenya located along the shores of Lake Victoria in Nyanza Province.
  • B. 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.
  • C. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • D. Kalangala
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • E. Omuta
    Omuta is an industrial city in southern Fukuoka Prefecture, Japan, historically known for its coal mining and chemical industries.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6fdc1608190a072b919d2cee387 completed April 18, 2026, 12:57 a.m.
Created at: April 8, 2026, 9:22 p.m.