Triple

T4415814
Position Surface form Disambiguated ID Type / Status
Subject Angolar E94969 entity
Predicate spokenPrimarilyOn P54157 FINISHED
Object island of São Tomé E134456 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: island of São Tomé | Statement: [Angolar, spokenPrimarilyOn, island of São Tomé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of São Tomé
Context triple: [Angolar, spokenPrimarilyOn, island of São Tomé]
  • A. São Tomé chosen
    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.
  • 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. 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.
  • 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. São Tomé and Príncipe
    São Tomé and Príncipe is a small Portuguese-speaking island nation in the Gulf of Guinea off Central Africa, known for its tropical climate, biodiversity, and cocoa production.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354eabb2481908ad10d21e1379e7f completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdb901d6448190a2c89c0e1e9fbb9d completed March 20, 2026, 9:15 p.m.
Created at: March 12, 2026, 11:29 p.m.