Triple

T20764579
Position Surface form Disambiguated ID Type / Status
Subject Government Center station E511060 entity
Predicate hasStationCode P1289 FINISHED
Object GVT NE NERFINISHED

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: GVT | Statement: [Government Center station, hasStationCode, GVT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GVT
Context triple: [Government Center station, hasStationCode, GVT]
  • A. GVT chosen
    GVT is the station code for Government Center, a major Metrorail transit hub in downtown Miami, Florida.
  • B. 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.
  • C. GVH
    GVH is the regional public transport association and fare system that coordinates and manages ticketing for the Hanover metropolitan area's transit services.
  • D. GVM
    GVM is the vehicle registration code used for motor vehicles registered in the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
  • E. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24b18b8819082e61104be6f83a3 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.