Triple

T17498651
Position Surface form Disambiguated ID Type / Status
Subject Skagway Airport E426137 entity
Predicate FAAIdentifier P420 FINISHED
Object SGY 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: SGY | Statement: [Skagway Airport, FAAIdentifier, SGY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SGY
Context triple: [Skagway Airport, FAAIdentifier, SGY]
  • A. SGY chosen
    SGY is the IATA airport code for Skagway Airport, a small public airport serving the town of Skagway in southeastern Alaska, United States.
  • B. SGJ
    SGJ is the FAA location identifier for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
  • C. SGN
    SGN is the postal code prefix used for addresses in the town of San Ġwann in Malta.
  • D. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • E. SG4
    SG4 is a postcode district in the SG (Stevenage) postcode area of England, covering parts of Hitchin and surrounding localities in Hertfordshire.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.