Triple

T15499689
Position Surface form Disambiguated ID Type / Status
Subject Danville Regional Airport E378916 entity
Predicate ICAOCode P419 FINISHED
Object KDAN
KDAN is the ICAO airport code for Danville Regional Airport, a public airport serving Danville, Virginia, in the United States.
E1160119 NE FINISHED

How this triple was built (4 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: KDAN | Statement: [Danville Regional Airport, ICAOCode, KDAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KDAN
Context triple: [Danville Regional Airport, ICAOCode, KDAN]
  • A. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • B. DK
    DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
  • C. DK
    DK is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful voice and energetic stage presence.
  • D. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • E. DK
    DK is an abbreviation for Danity Kane, an American girl group formed on the MTV reality show "Making the Band."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KDAN
Triple: [Danville Regional Airport, ICAOCode, KDAN]
Generated description
KDAN is the ICAO airport code for Danville Regional Airport, a public airport serving Danville, Virginia, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KDAN
Target entity description: KDAN is the ICAO airport code for Danville Regional Airport, a public airport serving Danville, Virginia, in the United States.
  • A. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • B. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • C. DK
    DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
  • D. DK
    DK is an abbreviation for Danity Kane, an American girl group formed on the MTV reality show "Making the Band."
  • E. DK
    DK is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful voice and energetic stage presence.
  • F. None of above. chosen

Provenance (5 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff3744ba8c81909989864ba107b93b completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37ee94b081909309062b2d30ede5 completed May 9, 2026, 1:34 p.m.
Created at: April 10, 2026, 3:54 a.m.