Triple

T16307596
Position Surface form Disambiguated ID Type / Status
Subject Rickenbacker International Airport E395961 entity
Predicate iataCode P2569 FINISHED
Object LCK E395960 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: LCK | Statement: [Rickenbacker International Airport, iataCode, LCK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LCK
Context triple: [Rickenbacker International Airport, iataCode, LCK]
  • A. LCK chosen
    LCK is the IATA airport code for Rickenbacker International Airport, a cargo-focused and passenger-supporting airport serving the Columbus, Ohio area.
  • B. League of Legends Champions Korea
    League of Legends Champions Korea is South Korea’s premier professional League of Legends competition, widely regarded as one of the strongest and most prestigious esports leagues in the world.
  • C. LPL
    LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
  • D. LPL
    LPL is the commonly used abbreviation for the Libyan Premier League, the top professional football league in Libya.
  • E. C9 League
    The C9 League is an elite alliance of nine top Chinese universities recognized for their leading roles in research, education, and academic excellence.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d63b688190ad5ebc3fb5dd5b4c completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa3353c8190825b31854a97220c completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.