Triple

T19579120
Position Surface form Disambiguated ID Type / Status
Subject N'Djamena International Airport E489938 entity
Predicate hasParkingPosition P67493 FINISHED
Object aircraft stands for commercial airliners LITERAL 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: aircraft stands for commercial airliners | Statement: [N'Djamena International Airport, hasParkingPosition, aircraft stands for commercial airliners]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParkingPosition
Context triple: [N'Djamena International Airport, hasParkingPosition, aircraft stands for commercial airliners]
  • A. hasParking
    Indicates that a place or facility provides designated parking space(s) available for use.
  • B. hasParkingFor chosen
    Indicates that a place or facility provides designated parking spaces suitable for a specified type of vehicle or user.
  • C. hasParkingNearby
    Indicates that a location has one or more parking facilities or spaces available within a close surrounding area.
  • D. hasParkingConnection
    Indicates that one entity is linked to another through a parking-related connection, such as shared access, adjacency, or functional association with parking facilities.
  • E. hasParkStatus
    Indicates that an entity holds a particular designation or status related to being a park (e.g., national park, city park, protected parkland).
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402693d88190a828c0e136895783 completed April 20, 2026, 3:03 p.m.
PD Predicate disambiguation batch_69e514dbdb988190b55931a8138c73e7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:42 p.m.