Triple

T3141755
Position Surface form Disambiguated ID Type / Status
Subject Paris–San Francisco E65663 entity
Predicate typicalOriginAirportIATA P45614 FINISHED
Object CDG E10902 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: CDG | Statement: [Paris–San Francisco, typicalOriginAirportIATA, CDG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDG
Context triple: [Paris–San Francisco, typicalOriginAirportIATA, CDG]
  • A. CDG chosen
    CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
  • B. CDGVAL
    CDGVAL is the automated light-rail shuttle system that links the terminals and key facilities within Paris Charles de Gaulle Airport.
  • C. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • D. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • E. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • 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: typicalOriginAirportIATA
Context triple: [Paris–San Francisco, typicalOriginAirportIATA, CDG]
  • A. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • B. airportServed
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • C. operatingBaseAirport
    Indicates the airport that serves as the primary base of operations for an airline or aircraft.
  • D. airportUse
    Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
  • E. hasRegionalAirport
    Indicates that a place or region possesses or is served by a regional airport.
  • F. None of above. chosen

Provenance (5 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e4df38819089d0a11016a85ad8 completed March 12, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69ad9df840088190a26a1516f4c1f056 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f7c21c819087e9992f5fe30a37 completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:05 p.m.