Triple

T13308519
Position Surface form Disambiguated ID Type / Status
Subject Gainesville Regional Airport E316997 entity
Predicate FAAcode P420 FINISHED
Object GNV E709695 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: GNV | Statement: [Gainesville Regional Airport, FAAcode, GNV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNV
Context triple: [Gainesville Regional Airport, FAAcode, GNV]
  • A. GNV chosen
    GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
  • B. KGNV
    KGNV is the ICAO airport code for Gainesville Regional Airport, a public airport serving Gainesville, Florida.
  • C. GNA
    GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
  • D. NEV
    NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
  • E. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2810a881908b1ed0cc4fb9ac12 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:29 p.m.