Triple

T13714574
Position Surface form Disambiguated ID Type / Status
Subject Runway 2/20 E328860 entity
Predicate associatedWithAirportCode P45234 FINISHED
Object SAF E328858 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: SAF | Statement: [Runway 2/20, associatedWithAirportCode, SAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAF
Context triple: [Runway 2/20, associatedWithAirportCode, SAF]
  • A. SAF chosen
    SAF is the three-letter IATA airport code for Santa Fe Regional Airport in Santa Fe, New Mexico.
  • B. SAF
    SAF is the abbreviation commonly used for the Swiss Armed Forces, the military organization responsible for Switzerland’s national defense.
  • C. SAF/AQ
    SAF/AQ is the U.S. Air Force headquarters organization responsible for overseeing acquisition, technology development, and logistics programs across the service.
  • D. Safis
    The Safis are a Pashtun tribal group historically associated with the Mohmand region along the Afghanistan–Pakistan border.
  • E. SAV
    SAV is the IATA airport code for Savannah/Hilton Head International Airport serving Savannah, Georgia, and the surrounding region.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0dd20348190adfb1712de06088c completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:54 p.m.