Triple

T23202395
Position Surface form Disambiguated ID Type / Status
Subject Grozny Airport E580352 entity
Predicate hasIATACode P2569 FINISHED
Object GRV 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: GRV | Statement: [Grozny Airport, hasIATACode, GRV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GRV
Context triple: [Grozny Airport, hasIATACode, GRV]
  • A. GRV
    GRV is the National Rail station code for Gravesend railway station in Kent, England.
  • B. GRV chosen
    GRV is the IATA airport code for Grozny Airport, the main air gateway serving Grozny in the Chechen Republic of Russia.
  • C. GVRA
    GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
  • D. GRVA
    GRVA is a United Nations working party focused on regulations and standards for automated, autonomous, and connected vehicles.
  • E. GRT
    GRT is the National Rail station code for Grateley railway station in Hampshire, England.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907a8bb48190846802a24d33bccf completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.