Triple

T10059009
Position Surface form Disambiguated ID Type / Status
Subject Mwanza Region E208934 entity
Predicate partOf P40 FINISHED
Object Lake Zone E668846 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: Lake Zone | Statement: [Mwanza Region, partOf, Lake Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Zone
Context triple: [Mwanza Region, partOf, Lake Zone]
  • A. Lake Zone chosen
    The Lake Zone is an administrative and geographical area in northwestern Tanzania that encompasses several regions bordering Lake Victoria, including Shinyanga.
  • B. Deep Bay
    Deep Bay is a coastal inlet between Hong Kong and Shenzhen known for its mangrove wetlands and rich estuarine ecosystem.
  • C. Deep Bay
    Deep Bay is a small coastal community and sheltered harbor on central Vancouver Island in British Columbia, Canada, known for boating, fishing, and marine research activities.
  • D. Salamander Bay
    Salamander Bay is a coastal suburb and popular holiday destination within the Port Stephens region of New South Wales, Australia, known for its beaches and calm bay waters.
  • E. The Basin
    The Basin is a naturally formed granite pothole and popular scenic attraction along the Pemigewasset River in Franconia Notch, New Hampshire.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfb0f17c8190a8c0cfb02863537d completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5d4b308190b5b1ece1ca99be86 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:57 p.m.