Triple

T10885430
Position Surface form Disambiguated ID Type / Status
Subject Sherman Municipal Airport E257031 entity
Predicate hasICAOCode P419 FINISHED
Object KSWI
KSWI is the ICAO airport code for Sherman Municipal Airport, a public airport serving Sherman, Texas, in the United States.
 E890572 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: KSWI | Statement: [Sherman Municipal Airport, hasICAOCode, KSWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSWI
Context triple: [Sherman Municipal Airport, hasICAOCode, KSWI]
  • A. KSWF
    KSWF is the ICAO airport code for Stewart International Airport, a public airport in New York’s Hudson Valley serving both civilian and military aviation.
  • B. KWI
    KWI is the three-letter IATA airport code for Kuwait International Airport, the main international gateway to Kuwait.
  • C. KWS
    KWS is the government agency responsible for conserving and managing Kenya’s wildlife and protected areas.
  • D. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • E. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • 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: KSWI
Triple: [Sherman Municipal Airport, hasICAOCode, KSWI]
Generated description
KSWI is the ICAO airport code for Sherman Municipal Airport, a public airport serving Sherman, Texas, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSWI
Target entity description: KSWI is the ICAO airport code for Sherman Municipal Airport, a public airport serving Sherman, Texas, in the United States.
  • A. KSWF
    KSWF is the ICAO airport code for Stewart International Airport, a public airport in New York’s Hudson Valley serving both civilian and military aviation.
  • B. KWI
    KWI is the three-letter IATA airport code for Kuwait International Airport, the main international gateway to Kuwait.
  • C. KWS
    KWS is the government agency responsible for conserving and managing Kenya’s wildlife and protected areas.
  • D. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • E. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.