Triple

T4407844
Position Surface form Disambiguated ID Type / Status
Subject Pico do Fogo E93777 entity
Predicate nearSettlement P3883 FINISHED
Object São Filipe E437946 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: São Filipe | Statement: [Pico do Fogo, nearSettlement, São Filipe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Filipe
Context triple: [Pico do Fogo, 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. 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.
  • C. 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.
  • D. San Vicente
    San Vicente is a coastal municipality in the Philippine province of Northern Samar known for its island communities and fishing-based local economy.
  • E. Santa Cruz das Flores
    Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3548cb92881908a3f98466da8e0a2 completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6374a22c88190ba36ddb180634573 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:28 p.m.