Triple

T12710803
Position Surface form Disambiguated ID Type / Status
Subject Church of Our Lady of Monte E303711 entity
Predicate locatedIn P40 FINISHED
Object Madeira E15891 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: Madeira | Statement: [Church of Our Lady of Monte, locatedIn, Madeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeira
Context triple: [Church of Our Lady of Monte, locatedIn, Madeira]
  • A. Madeira chosen
    Madeira is a Portuguese archipelago in the North Atlantic Ocean known for its rugged volcanic landscapes, mild subtropical climate, and namesake fortified wine.
  • B. Azores
    The Azores are a remote Portuguese archipelago in the North Atlantic Ocean, known for their volcanic landscapes, lush greenery, and mild maritime climate.
  • C. Ilha de Faro
    Ilha de Faro is a coastal barrier island in southern Portugal known for its sandy beaches, lagoon landscapes, and role as a popular seaside destination near the city of Faro.
  • D. Arronches
    Arronches is a small Portuguese municipality in the Alentejo region, known for its rural landscape, traditional architecture, and proximity to the Spanish border.
  • E. Tavira Island
    Tavira Island is a scenic barrier island off the Algarve coast of southern Portugal, known for its long sandy beaches, dunes, and protected natural habitats.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.