Triple

T3114820
Position Surface form Disambiguated ID Type / Status
Subject College Park Airport E65037 entity
Predicate hasFAACode P34770 FINISHED
Object CGS E327845 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: CGS | Statement: [College Park Airport, hasFAACode, CGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CGS
Context triple: [College Park Airport, hasFAACode, CGS]
  • A. CGS chosen
    CGS is the IATA airport code for College Park Airport, a historic general aviation airfield in College Park, Maryland, USA.
  • B. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • C. GCSI
    GCSI is the post-nominal abbreviation for Knight Grand Commander of the Most Exalted Order of the Star of India, a high-ranking chivalric order of the former British Empire in India.
  • D. GCSB
    GCSB is New Zealand’s signals intelligence and information security agency responsible for foreign intelligence gathering and cybersecurity.
  • E. GCTS
    GCTS is the ICAO airport code for Tenerife South Airport, a major international airport on the island of Tenerife in Spain’s Canary Islands.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.