Triple

T17225811
Position Surface form Disambiguated ID Type / Status
Subject Salina Municipal Airport E418110 entity
Predicate ICAOcode P419 FINISHED
Object KSLN
KSLN is the ICAO airport code for Salina Regional Airport, a public airport serving Salina, Kansas, in the United States.
 E1257552 NE FINISHED

How this triple was built (4 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: KSLN | Statement: [Salina Municipal Airport, ICAOcode, KSLN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSLN
Context triple: [Salina Municipal Airport, ICAOcode, KSLN]
  • A. KSLK
    KSLK is the ICAO airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
  • B. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • C. KSLI
    KSLI is the abbreviation commonly used for the King’s Shropshire Light Infantry, a historic infantry regiment of the British Army.
  • D. KLSV
    KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
  • E. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KSLN
Triple: [Salina Municipal Airport, ICAOcode, KSLN]
Generated description
KSLN is the ICAO airport code for Salina Regional Airport, a public airport serving Salina, Kansas, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSLN
Target entity description: KSLN is the ICAO airport code for Salina Regional Airport, a public airport serving Salina, Kansas, in the United States.
  • A. KSLK
    KSLK is the ICAO airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
  • B. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • C. KSLI
    KSLI is the abbreviation commonly used for the King’s Shropshire Light Infantry, a historic infantry regiment of the British Army.
  • D. KLSV
    KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
  • E. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • F. None of above. chosen

Provenance (5 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42de1674c81909ca9e87fa9153640 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675cc70881909cf39b2e229f5d1e completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016a5f58408190b42a8da742aa2f5b completed May 11, 2026, 5:34 a.m.
NED2 Entity disambiguation (via description) batch_6a016b0e72588190b1ba2b45f0425d3d completed May 11, 2026, 5:37 a.m.
Created at: April 10, 2026, 5:38 a.m.