Triple

T16089097
Position Surface form Disambiguated ID Type / Status
Subject Front Royal–Warren County Airport E390312 entity
Predicate hasICAOcode P419 FINISHED
Object KFRR E390313 NE 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: KFRR | Statement: [Front Royal–Warren County Airport, hasICAOcode, KFRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KFRR
Context triple: [Front Royal–Warren County Airport, hasICAOcode, KFRR]
  • A. KFRR chosen
    KFRR is the ICAO airport code for Front Royal–Warren County Airport, a public-use airport serving the Front Royal area in Virginia, United States.
  • B. KFLL
    KFLL is the ICAO airport code for Fort Lauderdale–Hollywood International Airport, a major commercial airport serving the Fort Lauderdale and greater South Florida region.
  • C. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • D. KRRL
    KRRL is a radio station that operates as a sister outlet to KLAC, typically sharing ownership and complementary programming within the same broadcast market.
  • E. FKF
    FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1845161908190adca2af94710b2cc completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe490d494819081f812811f032702 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:59 a.m.