Triple

T23270048
Position Surface form Disambiguated ID Type / Status
Subject San Luis Obispo County Regional Airport E588262 entity
Predicate IATA code P2569 FINISHED
Object SBP
SBP is the IATA airport code for San Luis Obispo County Regional Airport, a commercial airport serving San Luis Obispo and California’s Central Coast region.
 E1577172 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: SBP | Statement: [San Luis Obispo County Regional Airport, IATA code, SBP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SBP
Context triple: [San Luis Obispo County Regional Airport, IATA code, SBP]
  • A. SBP
    SBP is the National Rail station code for Stonebridge Park railway station in northwest London, England.
  • B. SBP
    SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
  • C. SBP
    SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
  • D. SBSP
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • E. SBPA
    SBPA is the acronym for the School of Business and Public Administration, an academic unit focused on education and research in business and public sector management.
  • 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: SBP
Triple: [San Luis Obispo County Regional Airport, IATA code, SBP]
Generated description
SBP is the IATA airport code for San Luis Obispo County Regional Airport, a commercial airport serving San Luis Obispo and California’s Central Coast region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SBP
Target entity description: SBP is the IATA airport code for San Luis Obispo County Regional Airport, a commercial airport serving San Luis Obispo and California’s Central Coast region.
  • A. SBP
    SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
  • B. SBP
    SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
  • C. SBP
    SBP is the National Rail station code for Stonebridge Park railway station in northwest London, England.
  • D. SBSP
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • E. SBPA
    SBPA is the acronym for the School of Business and Public Administration, an academic unit focused on education and research in business and public sector management.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957324bc8190b8b53d4b18386151 completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7797a481909c56589d1d3292ea completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c40297d3c8190b366b60cec3dbbf8 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40ffd67481908931ffc2d91fb02b completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:45 p.m.