Triple

T14591149
Position Surface form Disambiguated ID Type / Status
Subject Husuni Ndogo E342445 entity
Predicate locatedIn P40 FINISHED
Object Lindi Region E348427 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: Lindi Region | Statement: [Husuni Ndogo, locatedIn, Lindi Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindi Region
Context triple: [Husuni Ndogo, locatedIn, Lindi Region]
  • A. Lindi Region chosen
    Lindi Region is a coastal administrative region in southern Tanzania known for its historical Swahili settlements and Indian Ocean shoreline.
  • B. Ruvuma Region
    Ruvuma Region is a largely rural administrative area in southern Tanzania known for its wildlife, forests, and proximity to major conservation areas.
  • C. Kunene Region
    Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
  • D. Omaheke Region
    Omaheke Region is an administrative region in eastern Namibia known for its semi-arid savannah landscapes and cattle farming.
  • E. Lubombo region
    The Lubombo region is an administrative area in eastern Eswatini known for its rugged Lubombo Mountains, sugarcane plantations, and the course of the Great Usutu River running through it.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4249af08190962009741d1f7d41 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe968124d481909dd89dd9282788b7 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:24 a.m.