Triple

T17727399
Position Surface form Disambiguated ID Type / Status
Subject Paris–Basel E442497 entity
Predicate isPartOf P10 FINISHED
Object European air transport 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 air transport network | Statement: [Paris–Basel, isPartOf, European air transport network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European air transport network
Context triple: [Paris–Basel, isPartOf, European air transport network]
  • A. European airport network
    The European airport network is a coordinated system of airports across Europe that facilitates regional and international air transport, connectivity, and logistics.
  • 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. 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.
  • 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 air transport network
Target entity description: The European air transport network is the interconnected system of airports, airlines, and flight routes that facilitates passenger and cargo air travel across Europe and links the continent to the rest of the world.
  • A. European airport network chosen
    The European airport network is a coordinated system of airports across Europe that facilitates regional and international air transport, connectivity, and logistics.
  • 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. 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.
  • F. None of above.

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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e3cb708190b47456ad2008a65e completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:07 a.m.