Triple

T8070212
Position Surface form Disambiguated ID Type / Status
Subject FAT E188350 entity
Predicate FAAcodeOfAssociatedAirport P67437 FINISHED
Object FAT E188350 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: FAT | Statement: [FAT, FAAcodeOfAssociatedAirport, FAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAT
Context triple: [FAT, FAAcodeOfAssociatedAirport, FAT]
  • A. FAT
    FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
  • B. FAT chosen
    FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
  • C. FAT
    FAT (File Allocation Table) is an older, simple file system commonly used on removable storage devices and supported by many operating systems, but lacking advanced features like built-in encryption and journaling.
  • D. FAD
    FAD is the Faculty of Arts and Design at the University of Canberra, offering creative and humanities-focused education and research programs.
  • E. FAD
    FAD is the ICAO airline designator assigned to flyadeal, a Saudi Arabian low-cost carrier based in Jeddah.
  • 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: FAAcodeOfAssociatedAirport
Context triple: [FAT, FAAcodeOfAssociatedAirport, FAT]
  • A. airportIATAAssociated
    Indicates that an airport is associated with a specific IATA (International Air Transport Association) code.
  • B. airportCodeFAA chosen
    Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
  • C. associatedWithAirportCode
    Indicates that one entity has a relationship or connection to an airport identified by a specific airport code.
  • D. associatedAirport
    Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
  • E. FAAcode
    Indicates that an entity (such as an airport or facility) is associated with a specific identifying code assigned by the Federal Aviation Administration (FAA).
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ffe29188190834ec4f71043a99d completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e9225c8190bb196d9c325bb85e completed April 1, 2026, 12:16 a.m.
PD Predicate disambiguation batch_69cb049cd51c8190bb3b0f503e42fa8d completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:27 p.m.