Triple

T5280415
Position Surface form Disambiguated ID Type / Status
Subject Orlando Sanford International Airport E119481 entity
Predicate ICAOcode P419 FINISHED
Object KSFB
KSFB is the ICAO airport code for Orlando Sanford International Airport in Sanford, Florida, a secondary commercial airport serving the Orlando metropolitan area.
E509306 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: KSFB | Statement: [Orlando Sanford International Airport, ICAOcode, KSFB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSFB
Context triple: [Orlando Sanford International Airport, ICAOcode, KSFB]
  • A. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • B. KSAT
    KSAT is the ICAO airport code for San Antonio International Airport, a major commercial airport serving the San Antonio, Texas area.
  • C. KSJC
    KSJC is the ICAO airport code for Norman Y. Mineta San Jose International Airport, a major commercial airport serving San Jose and California’s Silicon Valley.
  • D. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • E. KSOC
    KSOC is the acronym for the Korean Sport & Olympic Committee, the national body responsible for overseeing Olympic and elite sports in South Korea.
  • 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: KSFB
Triple: [Orlando Sanford International Airport, ICAOcode, KSFB]
Generated description
KSFB is the ICAO airport code for Orlando Sanford International Airport in Sanford, Florida, a secondary commercial airport serving the Orlando metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KSFB
Target entity description: KSFB is the ICAO airport code for Orlando Sanford International Airport in Sanford, Florida, a secondary commercial airport serving the Orlando metropolitan area.
  • A. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • B. KSAT
    KSAT is the ICAO airport code for San Antonio International Airport, a major commercial airport serving the San Antonio, Texas area.
  • C. KSJC
    KSJC is the ICAO airport code for Norman Y. Mineta San Jose International Airport, a major commercial airport serving San Jose and California’s Silicon Valley.
  • D. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • E. KSOC
    KSOC is the acronym for the Korean Sport & Olympic Committee, the national body responsible for overseeing Olympic and elite sports in South Korea.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c409248190a0154a660f58e096 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06dd56a08190a7cfef614e5990f4 completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf08eb8a50819092df2f12679fbca0 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf0cd1307481909a60298929af7699 completed March 21, 2026, 9:25 p.m.
Created at: March 20, 2026, 1:52 p.m.