Triple

T17689055
Position Surface form Disambiguated ID Type / Status
Subject Farman F.60 Goliath E440973 entity
Predicate firstCommercialRoute P43656 FINISHED
Object Paris–London 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: Paris–London | Statement: [Farman F.60 Goliath, firstCommercialRoute, Paris–London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris–London
Context triple: [Farman F.60 Goliath, firstCommercialRoute, Paris–London]
  • A. London–Paris chosen
    London–Paris is a major international rail route connecting the capitals of the United Kingdom and France via the Channel Tunnel.
  • B. London–Lyon
    London–Lyon is an international high-speed rail route linking the United Kingdom’s capital with the major city of Lyon in east-central France.
  • C. New York–London
    New York–London is a major transatlantic air route connecting the United States and the United Kingdom, historically served by numerous international carriers.
  • D. London–Marseille
    London–Marseille is a cross-European rail route linking the United Kingdom’s capital with the major port city in southern France, popular for leisure and holiday travel.
  • E. London–Brussels
    London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
  • 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: firstCommercialRoute
Context triple: [Farman F.60 Goliath, firstCommercialRoute, Paris–London]
  • A. firstCommercialFlight chosen
    Indicates that the subject entity operated or was involved in the earliest commercial flight associated with the object entity (such as a route, aircraft type, or service).
  • B. firstCommercialLine
    Indicates that the subject is the first commercial line (e.g., initial business or product line) associated with the object.
  • C. firstCommercialFlightDate
    Indicates the calendar date on which an entity’s first commercial flight or revenue-earning air service took place.
  • D. firstCommercialJetAirliner
    Indicates that the subject is the earliest or original commercial jet airliner to enter service, relative to other such aircraft.
  • E. firstNonStopTransatlanticFlightDate
    Indicates the date on which an entity completed its first nonstop flight across the Atlantic Ocean.
  • F. None of above.

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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704a6bb4819083752285baf3b3ee completed April 19, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69e3cde3673c8190a889e14ba1f07dc1 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 10:03 a.m.