Triple

T17509879
Position Surface form Disambiguated ID Type / Status
Subject Macuata E426421 entity
Predicate adjacentTo P224 FINISHED
Object Bua NE NERFINISHED

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: Bua | Statement: [Macuata, adjacentTo, Bua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bua
Context triple: [Macuata, adjacentTo, Bua]
  • A. Bua chosen
    Bua is a province on the island of Vanua Levu in Fiji, known for its rural communities and largely undeveloped natural landscapes.
  • B. Choba
    Choba is a prominent town in Rivers State, Nigeria, known for hosting the main campus of the University of Port Harcourt and serving as a key residential and commercial hub in the Obio-Akpor area.
  • C. Kabua
    Kabua is a Marshallese surname most notably associated with Amata Kabua, the first President of the Marshall Islands.
  • D. Borutta
    Borutta is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural character and nearby archaeological sites.
  • E. Viau
    Viau is a Montreal Metro station located in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line near the Olympic Stadium and related attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525b03c48190ada74a7da0f4739c completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.