Triple

T17453059
Position Surface form Disambiguated ID Type / Status
Subject EPWR E424960 entity
Predicate isMemberOf P10 FINISHED
Object European airport network — NE NERFINISHED

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: European airport network | Statement: [EPWR, isMemberOf, European airport network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European airport network
Context triple: [EPWR, isMemberOf, European airport network]
  • A. French regional airports network
    The French regional airports network is a collective system of smaller, non-hub airports across France that supports domestic and short-haul international air traffic, regional connectivity, and local economic development.
  • B. European route network
    The European route network is an international system of numbered roads that links major cities and regions across Europe, integrating national highways into a unified transcontinental network.
  • C. European Union aviation area
    The European Union aviation area is a single, liberalized air transport market encompassing EU member states and certain neighboring countries, enabling open access and common regulatory standards for airlines operating within it.
  • D. Europe–Africa air routes
    Europe–Africa air routes are commercial and historical flight corridors connecting various European countries with destinations across the African continent.
  • E. airport network of Portugal
    The airport network of Portugal is the nationwide system of commercial and regional airports that connects mainland Portugal, the Azores, and Madeira to each other and to international destinations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: European airport network
Target entity description: The European airport network is a coordinated system of airports across Europe that facilitates regional and international air transport, connectivity, and logistics.
  • A. French regional airports network
    The French regional airports network is a collective system of smaller, non-hub airports across France that supports domestic and short-haul international air traffic, regional connectivity, and local economic development.
  • B. European route network
    The European route network is an international system of numbered roads that links major cities and regions across Europe, integrating national highways into a unified transcontinental network.
  • C. European Union aviation area
    The European Union aviation area is a single, liberalized air transport market encompassing EU member states and certain neighboring countries, enabling open access and common regulatory standards for airlines operating within it.
  • D. Europe–Africa air routes
    Europe–Africa air routes are commercial and historical flight corridors connecting various European countries with destinations across the African continent.
  • E. airport network of Portugal
    The airport network of Portugal is the nationwide system of commercial and regional airports that connects mainland Portugal, the Azores, and Madeira to each other and to international destinations.
  • F. None of above. chosen

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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4513faa0c8190961cf504c459bf34 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.