Triple

T7873940
Position Surface form Disambiguated ID Type / Status
Subject Fa d’Ambô E182804 entity
Predicate primaryRegion P1103 FINISHED
Object Annobón Island E34720 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: Annobón Island | Statement: [Fa d’Ambô, primaryRegion, Annobón Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annobón Island
Context triple: [Fa d’Ambô, primaryRegion, Annobón Island]
  • A. Annobón chosen
    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.
  • B. Bioko Island
    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.
  • C. Robert Island
    Robert Island is a small, disputed island within the Paracel Islands archipelago in the South China Sea, known for its strategic location and contested sovereignty.
  • D. Robert Island
    Robert Island is one of the remote, ice-covered islands of the South Shetland archipelago off the northern tip of the Antarctic Peninsula.
  • E. 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.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a7f1648190980db4db1a800189 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b79705c8190955e128081048ebe completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:56 p.m.