Triple

T11945729
Position Surface form Disambiguated ID Type / Status
Subject Hattiesburg–Laurel Regional Airport E284292 entity
Predicate FAA LID P420 FINISHED
Object PIB E955847 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: PIB | Statement: [Hattiesburg–Laurel Regional Airport, FAA LID, PIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PIB
Context triple: [Hattiesburg–Laurel Regional Airport, FAA LID, PIB]
  • A. PIB chosen
    PIB is the three-letter IATA airport code for Hattiesburg–Laurel Regional Airport in Mississippi, United States.
  • B. Gross Domestic Product
    Gross Domestic Product (GDP) is a key economic indicator that measures the total monetary value of all final goods and services produced within a country's borders over a specific period.
  • C. GDP deflator
    The GDP deflator is a broad measure of overall price inflation in an economy, capturing the change in prices of all domestically produced final goods and services included in GDP.
  • D. Unidad de Crédito Público
    La Unidad de Crédito Público es el área especializada del gobierno federal mexicano encargada de diseñar, coordinar y gestionar la política de endeudamiento y financiamiento público interno y externo del país.
  • E. PI
    PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471ba7fd88190909596e6e01e8714 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.