Triple

T2641025
Position Surface form Disambiguated ID Type / Status
Subject Santa Barbara Municipal Airport E62865 entity
Predicate ICAOcode P419 FINISHED
Object KSBA
KSBA is the ICAO airport code for Santa Barbara Municipal Airport, a public airport serving Santa Barbara, California.
 E286219 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: KSBA | Statement: [Santa Barbara Municipal Airport, ICAOcode, KSBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSBA
Context triple: [Santa Barbara Municipal Airport, ICAOcode, KSBA]
  • A. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • B. 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.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • E. KLAS
    KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • 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: KSBA
Triple: [Santa Barbara Municipal Airport, ICAOcode, KSBA]
Generated description
KSBA is the ICAO airport code for Santa Barbara Municipal Airport, a public airport serving Santa Barbara, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSBA
Target entity description: KSBA is the ICAO airport code for Santa Barbara Municipal Airport, a public airport serving Santa Barbara, California.
  • A. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • B. 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.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • E. KLAS
    KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fc8ee881908a9f6820d8934a62 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98bd689481908568d35baac1e065 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99c237548190838559ccac95f1c5 completed March 10, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69af9a5938b48190820f37f2e2280438 completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:53 p.m.