Triple

T17867615
Position Surface form Disambiguated ID Type / Status
Subject Charleston International Airport E446744 entity
Predicate hasICAOCode P419 FINISHED
Object KCHS 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: KCHS | Statement: [Charleston International Airport, hasICAOCode, KCHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCHS
Context triple: [Charleston International Airport, hasICAOCode, KCHS]
  • A. KCHS chosen
    KCHS is the ICAO airport code for Charleston International Airport, a major commercial and joint civil-military airfield serving the Charleston, South Carolina area.
  • B. KHS
    KHS is an Indian government institution dedicated to the promotion, teaching, and research of the Hindi language.
  • C. Knoch High School
    Knoch High School is a public secondary school serving students in the South Butler County area of Pennsylvania.
  • D. CHS
    CHS is the three-letter IATA airport code for Charleston International Airport, the primary commercial airport serving the Charleston, South Carolina area.
  • E. CHS
    CHS is the abbreviation for the Council of Heads of State, a high-level political body composed of the top leaders of member countries.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.