Triple

T17447330
Position Surface form Disambiguated ID Type / Status
Subject Daytona Beach International Airport E424819 entity
Predicate ICAO code P419 FINISHED
Object KDAB NE NERFINISHED

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: KDAB | Statement: [Daytona Beach International Airport, ICAO code, KDAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KDAB
Context triple: [Daytona Beach International Airport, ICAO code, KDAB]
  • A. KDAB chosen
    KDAB is the ICAO airport code for Daytona Beach International Airport in Daytona Beach, Florida.
  • B. KDE e.V.
    KDE e.V. is the non-profit organization that legally represents and supports the KDE community, managing its finances, trademarks, and overall project coordination.
  • C. KDE Gear
    KDE Gear is a collection of free and open-source applications and tools maintained by the KDE community for use primarily in the Plasma desktop environment and beyond.
  • D. KDEC
    KDEC is the ICAO airport code for Decatur Airport in Decatur, Illinois, United States.
  • E. KDAN
    KDAN is the ICAO airport code for Danville Regional Airport, a public airport serving Danville, Virginia, in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.