Triple

T22117167
Position Surface form Disambiguated ID Type / Status
Subject Island of Mozambique E546572 entity
Predicate contains P35 FINISHED
Object Fort São Sebastião NE NERFINISHED

How this triple was built (3 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: Fort São Sebastião | Statement: [Island of Mozambique, contains, Fort São Sebastião]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort São Sebastião
Context triple: [Island of Mozambique, contains, Fort São Sebastião]
  • A. Forte de São Luís
    Forte de São Luís is a historic defensive fortification that forms part of the renowned fortified complex surrounding the Portuguese border town of Elvas.
  • B. Forte de São José
    Forte de São José is a historic defensive fortification that forms part of the renowned fortified ensemble of Elvas in Portugal, recognized for its significant military architecture and role in regional defense.
  • C. Fort of São João Baptista
    Fort of São João Baptista is a historic Portuguese colonial fortification on Ibo Island in Mozambique, built to defend the island and its trading port.
  • D. Fortress of São João Baptista
    The Fortress of São João Baptista is a historic coastal stronghold on Terceira Island in the Azores, built by the Portuguese in the 16th–17th centuries to defend the strategic port city of Angra do Heroísmo.
  • E. Forte de São Vicente
    Forte de São Vicente is a historic hilltop fort in Torres Vedras, Portugal, that formed part of the defensive Lines of Torres Vedras built during the Peninsular War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fort São Sebastião
Target entity description: Fort São Sebastião is a 16th-century Portuguese coastal fortress on Mozambique Island, notable as one of the oldest and most imposing European fortifications in sub-Saharan Africa.
  • A. Forte de São Luís
    Forte de São Luís is a historic defensive fortification that forms part of the renowned fortified complex surrounding the Portuguese border town of Elvas.
  • B. Forte de São José
    Forte de São José is a historic defensive fortification that forms part of the renowned fortified ensemble of Elvas in Portugal, recognized for its significant military architecture and role in regional defense.
  • C. Fort of São João Baptista
    Fort of São João Baptista is a historic Portuguese colonial fortification on Ibo Island in Mozambique, built to defend the island and its trading port.
  • D. Fortress of São João Baptista
    The Fortress of São João Baptista is a historic coastal stronghold on Terceira Island in the Azores, built by the Portuguese in the 16th–17th centuries to defend the strategic port city of Angra do Heroísmo.
  • E. Forte de São Vicente
    Forte de São Vicente is a historic hilltop fort in Torres Vedras, Portugal, that formed part of the defensive Lines of Torres Vedras built during the Peninsular War.
  • F. None of above. chosen

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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294e85708190b455846bacbdfd03 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.