Triple

T13674791
Position Surface form Disambiguated ID Type / Status
Subject College Park Airport E327845 entity
Predicate ICAO code P419 FINISHED
Object KCGS E327846 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: KCGS | Statement: [College Park Airport, ICAO code, KCGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCGS
Context triple: [College Park Airport, ICAO code, KCGS]
  • A. KCGS chosen
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • B. CKG
    CKG is the IATA airport code for Chongqing Jiangbei International Airport, a major aviation hub serving the city of Chongqing in southwest China.
  • C. KCS
    KCS is the reporting mark used by Kansas City Southern Railway, a major freight railroad operating in the central and southern United States and into Mexico.
  • D. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • E. KCS
    KCS is a public school district serving the Kannapolis, North Carolina area.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65c04988190b675e6fb7241e53c completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.