Triple

T2539049
Position Surface form Disambiguated ID Type / Status
Subject Malabo E56338 entity
Predicate locatedOnIsland P970 FINISHED
Object Bioko E34267 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: Bioko | Statement: [Malabo, locatedOnIsland, Bioko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bioko
Context triple: [Malabo, locatedOnIsland, Bioko]
  • A. Bioko Island chosen
    Bioko Island is a volcanic island off the west coast of Africa that forms the northern region of Equatorial Guinea and hosts the country’s capital, Malabo.
  • B. Annobón
    Annobón is a small, remote volcanic island and province of Equatorial Guinea in the Gulf of Guinea, known for its unique biodiversity and Portuguese-influenced Creole culture.
  • C. São Tomé
    São Tomé is the largest city and main economic and administrative center of the island nation of São Tomé and Príncipe in the Gulf of Guinea.
  • D. Fundão Island
    Fundão Island is an artificial island in Rio de Janeiro, Brazil, best known as the main campus site of the Federal University of Rio de Janeiro within Guanabara Bay.
  • E. Bioko Sur Province
    Bioko Sur Province is an administrative region of Equatorial Guinea that encompasses the southern part of Bioko Island, including its capital Luba.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cfc54cc8190bb43b54f873ffa63 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.