Triple

T23270050
Position Surface form Disambiguated ID Type / Status
Subject San Luis Obispo County Regional Airport E588262 entity
Predicate FAA LID P420 FINISHED
Object SBP E1577172 NE FINISHED

How this triple was built (2 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, FAA LID, SBP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBP
Context triple: [San Luis Obispo County Regional Airport, FAA LID, 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. SBP chosen
    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.
  • E. SBSP
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_6a0c4c86b1408190915e18bd59d7791e completed May 19, 2026, 11:41 a.m.
Created at: April 17, 2026, 4:45 p.m.