Triple

T20548687
Position Surface form Disambiguated ID Type / Status
Subject Department for Infrastructure and Transport (South Australia) E504541 entity
Predicate abbreviation P43 FINISHED
Object DIT 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: DIT | Statement: [Department for Infrastructure and Transport (South Australia), abbreviation, DIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIT
Context triple: [Department for Infrastructure and Transport (South Australia), abbreviation, DIT]
  • A. DIT chosen
    DIT is the South Australian government department responsible for planning, developing, and managing the state’s transport systems and infrastructure.
  • B. DITRDCA
    DITRDCA is an Australian government department responsible for national policy and programs relating to infrastructure, transport, regional development, communications, and the arts.
  • C. DAM
    DAM is a Frankfurt-based museum dedicated to the history, theory, and contemporary practice of architecture in Germany and beyond.
  • D. DAM
    DAM is the three-letter IATA airport code for Damascus International Airport, the main airport serving Syria’s capital city.
  • E. DAM
    DAM is the National Rail station code used to identify Dalmeny railway station in Scotland’s rail network.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d56060819090f0e2f2f9957982 completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.