Triple

T8197120
Position Surface form Disambiguated ID Type / Status
Subject Salinas Municipal Airport E191460 entity
Predicate FAAcode P420 FINISHED
Object SNS E718496 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: SNS | Statement: [Salinas Municipal Airport, FAAcode, SNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNS
Context triple: [Salinas Municipal Airport, FAAcode, SNS]
  • A. SNS
    SNS is the National Rail station code for Staines railway station in Surrey, England.
  • B. SNS
    SNS is the School of Natural Sciences at the University of California, Merced, which focuses on education and research in scientific disciplines such as biology, chemistry, physics, and related fields.
  • C. SNS
    SNS is the acronym for the Scuola Normale Superiore di Pisa, an elite Italian higher education and research institution renowned for its rigorous academic standards.
  • D. SNS chosen
    SNS is the three-letter IATA airport code assigned to Salinas Municipal Airport in Salinas, California.
  • E. SNA
    SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c2341f881908be59c378896e5bc completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34a11138819093b9a17ab8b8ec8a completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:42 p.m.