Triple

T2539069
Position Surface form Disambiguated ID Type / Status
Subject Malabo E56338 entity
Predicate partOf P40 FINISHED
Object Bioko Island 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 Island | Statement: [Malabo, partOf, Bioko Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bioko Island
Context triple: [Malabo, partOf, Bioko Island]
  • 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. Bioko Norte
    Bioko Norte is a province of Equatorial Guinea that occupies the northern part of Bioko Island and includes the national capital, Malabo.
  • 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. Kili Island
    Kili Island is a small coral island in the Marshall Islands, known for being one of the resettlement locations for displaced Bikini Atoll inhabitants after nuclear testing.
  • 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_69af839849288190a6ddf488f3f69203 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:47 p.m.