Triple

T4873026
Position Surface form Disambiguated ID Type / Status
Subject San Antonio International Airport E109130 entity
Predicate ICAOcode P419 FINISHED
Object KSAT
KSAT is the ICAO airport code for San Antonio International Airport, a major commercial airport serving the San Antonio, Texas area.
E476688 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: KSAT | Statement: [San Antonio International Airport, ICAOcode, KSAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSAT
Context triple: [San Antonio International Airport, ICAOcode, KSAT]
  • A. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • B. KSAN
    KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
  • C. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • D. KSNA
    KSNA is the ICAO airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
  • E. KATS
    KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
  • 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: KSAT
Triple: [San Antonio International Airport, ICAOcode, KSAT]
Generated description
KSAT is the ICAO airport code for San Antonio International Airport, a major commercial airport serving the San Antonio, Texas area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KSAT
Target entity description: KSAT is the ICAO airport code for San Antonio International Airport, a major commercial airport serving the San Antonio, Texas area.
  • A. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • B. KSAN
    KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
  • C. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • D. KSNA
    KSNA is the ICAO airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
  • E. KATS
    KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f5b51c8190a8114450084d2b13 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be69ed67f4819094656680ac3a174a completed March 21, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69be6a368ca88190b57fdf7c8c9f4e60 completed March 21, 2026, 9:51 a.m.
Created at: March 20, 2026, 1:27 p.m.