Triple

T18284777
Position Surface form Disambiguated ID Type / Status
Subject Peak of Fire E437953 entity
Predicate nearSettlement P3883 FINISHED
Object São Filipe NE NERFINISHED

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: São Filipe | Statement: [Peak of Fire, nearSettlement, São Filipe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Filipe
Context triple: [Peak of Fire, nearSettlement, São Filipe]
  • A. São Filipe chosen
    São Filipe is the main town and administrative center of Fogo Island in Cape Verde, known for its colonial architecture and coastal setting.
  • B. São Fidélis
    São Fidélis is a municipality in the state of Rio de Janeiro, Brazil, known for its historic architecture and location along the Paraíba do Sul River.
  • C. Santo Antão
    Santo Antão is the westernmost and one of the largest islands of Cape Verde, renowned for its dramatic volcanic mountains, deep valleys, and lush hiking landscapes.
  • D. Fajã de São João
    Fajã de São João is a small coastal settlement and lava-delta plain on the south coast of São Jorge Island in the Azores, known for its traditional houses, terraced agriculture, and scenic ocean views.
  • E. Bonfim
    Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500f913d48190b41a1e37ca05e8b1 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.