Triple

T2864034
Position Surface form Disambiguated ID Type / Status
Subject EWR E63393 entity
Predicate otherMajorNYCAreaAirport P14083 FINISHED
Object LGA E61301 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: LGA | Statement: [EWR, otherMajorNYCAreaAirport, LGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LGA
Context triple: [EWR, otherMajorNYCAreaAirport, LGA]
  • A. LGA chosen
    LGA is the three-letter IATA airport code for LaGuardia Airport, a major commercial airport serving New York City.
  • B. LBA
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • C. LGC
    LGC is the three-letter IATA airport code for LaGrange–Callaway Airport in LaGrange, Georgia, United States.
  • D. LAC
    LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
  • E. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe08ae5048190a0a3b573d9a5fdbc completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055e0c8088190a0fa67c9c14fc29b completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:02 p.m.