Triple

T10542253
Position Surface form Disambiguated ID Type / Status
Subject North Las Vegas Airport E248725 entity
Predicate FAAcode P420 FINISHED
Object VGT E871310 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: VGT | Statement: [North Las Vegas Airport, FAAcode, VGT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VGT
Context triple: [North Las Vegas Airport, FAAcode, VGT]
  • A. VGT chosen
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • B. GVT
    GVT is the station code for Government Center, a major Metrorail transit hub in downtown Miami, Florida.
  • C. HVGT
    HVGT is the abbreviated name for Hornets Venom GT, the NBA 2K League esports team affiliated with the Charlotte Hornets.
  • D. 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.
  • E. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190f46d08190a92b1191881ffb92 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b23b2988190b536d5ecb76298ff completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:32 p.m.