Triple

T14927151
Position Surface form Disambiguated ID Type / Status
Subject Aviz dynasty E372161 entity
Predicate notableColony P160 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: [Aviz dynasty, notableColony, Madeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeira
Context triple: [Aviz dynasty, notableColony, 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. Madalena, Azores
    Madalena is a coastal town and municipality on the island of Pico in Portugal’s Azores archipelago, known for its volcanic landscapes, vineyards, and role as a local transport and tourism hub.
  • E. Arronches
    Arronches is a small Portuguese municipality in the Alentejo region, known for its rural landscape, traditional architecture, and proximity to the Spanish border.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded633da0c8190b39f606212e48e71 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc0fa288190935ddd3ce61f3721 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:35 a.m.