Triple

T44181
Position Surface form Disambiguated ID Type / Status
Subject Portugal E866 entity
Predicate hasAutonomousRegion P747 FINISHED
Object Azores E10771 NE FINISHED

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: Azores | Statement: [Portugal, hasAutonomousRegion, Azores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azores
Context triple: [Portugal, hasAutonomousRegion, Azores]
  • A. Azores chosen
    The Azores are a remote Portuguese archipelago in the North Atlantic Ocean, known for their volcanic landscapes, lush greenery, and mild maritime climate.
  • B. Canary Islands
    The Canary Islands are a Spanish archipelago off the northwest coast of Africa, known for their volcanic landscapes, subtropical climate, and popularity as a tourist destination.
  • C. Algarve
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • D. Saint Helena
    Saint Helena is a remote volcanic island in the South Atlantic Ocean, best known as the place of Napoleon Bonaparte’s exile and death.
  • E. St. Helena
    St. Helena is a small, historic city in California’s Napa Valley known for its wineries, vineyards, and upscale culinary and tourism scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAutonomousRegion
Context triple: [Portugal, hasAutonomousRegion, Azores]
  • A. hasRegionalCommission
    Indicates that an entity is associated with, overseen by, or falls under the jurisdiction of a specific regional commission.
  • B. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • C. hasOverseasTerritory
    Indicates that one entity possesses or controls a territory located outside its own primary geographic or sovereign domain.
  • D. hasSubdivision chosen
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • E. hasAdministrativeCenter
    Indicates that an administrative unit (such as a region, district, or municipality) has a specific place designated as its main governing or administrative center.
  • F. None of above.

Provenance (4 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24c083ad081909c1122c8fb29efdc completed Feb. 28, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa40b9fc819092323d52f6ae489d completed Feb. 28, 2026, 8:41 a.m.
PD Predicate disambiguation batch_69a24aba9a2c81909f769a8f22e30c92 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.