Triple

T10410696
Position Surface form Disambiguated ID Type / Status
Subject La Compagnie E245379 entity
Predicate notableRoute P22 FINISHED
Object Newark–Paris Orly E46790 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: Newark–Paris Orly | Statement: [La Compagnie, notableRoute, Newark–Paris Orly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newark–Paris Orly
Context triple: [La Compagnie, notableRoute, Newark–Paris Orly]
  • A. Paris Orly Airport chosen
    Paris Orly Airport is a major international airport serving the Paris metropolitan area, located south of the city and handling a large share of its domestic and European flights.
  • B. Coll Airport
    Coll Airport is a small regional airfield serving the island of Coll in Scotland’s Inner Hebrides, providing vital connections to the mainland.
  • C. Paris–Le Bourget Airport
    Paris–Le Bourget Airport is a historic airport near Paris that now primarily serves business aviation and hosts the biennial Paris Air Show.
  • D. Aéroport de l’Ancienne-Lorette
    Aéroport de l’Ancienne-Lorette is the former name of the main international airport serving Quebec City, Canada.
  • E. Roissy-en-France
    Roissy-en-France is a commune in the northeastern suburbs of Paris best known for hosting most of Charles de Gaulle Airport, France’s largest international air hub.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9fb98748190a3a6c161edd8f400 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f7bfce881908239cbb0915a5b81 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:09 p.m.