Triple

T18808626
Position Surface form Disambiguated ID Type / Status
Subject Durban International Airport E459944 entity
Predicate IATAcode P418 FINISHED
Object DUR 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: DUR | Statement: [Durban International Airport, IATAcode, DUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DUR
Context triple: [Durban International Airport, IATAcode, DUR]
  • A. DUR chosen
    DUR is the IATA airport code for King Shaka International Airport serving Durban, South Africa.
  • B. DURL
    DURL is the abbreviated name of the Dubai Rapid Link consortium, a group formed to develop and operate parts of Dubai’s urban rail transit system.
  • C. DOR
    DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
  • D. DOR
    DOR is the California state agency that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and retain employment.
  • E. DOR
    DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d9c49c8190a9d29a25f0c977b2 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.