Triple

T683216
Position Surface form Disambiguated ID Type / Status
Subject Roissy-en-France E13225 entity
Predicate airportICAOAssociated P419 FINISHED
Object LFPG E10903 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: LFPG | Statement: [Roissy-en-France, airportICAOAssociated, LFPG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LFPG
Context triple: [Roissy-en-France, airportICAOAssociated, LFPG]
  • A. LFPG chosen
    LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
  • B. LFPB
    LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • C. LFPO
    LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • D. PLAF
    PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
  • E. DFG
    DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • 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: airportICAOAssociated
Context triple: [Roissy-en-France, airportICAOAssociated, LFPG]
  • A. ICAOcode chosen
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • B. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • C. otherRegionalAirports
    Indicates that the entities are airports located in different regions from each other but considered as alternative or comparable regional airports.
  • D. airportRole
    Indicates that an entity serves a specific functional role or capacity within the context of an airport.
  • E. airportOfficialName
    Indicates the officially designated full name of an airport as recognized by authorities or governing bodies.
  • F. None of above.

Provenance (4 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a070d4c08190a510a8f9c1ae8076 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a5701c8190810e5e52bc2b61f7 completed March 2, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69a49d1f0ccc819088c1527beabcb718 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.