Triple

T8252390
Position Surface form Disambiguated ID Type / Status
Subject Australian Signals Directorate E192987 entity
Predicate formerName P65 FINISHED
Object DSD E721590 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: DSD | Statement: [Australian Signals Directorate, formerName, DSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSD
Context triple: [Australian Signals Directorate, formerName, DSD]
  • A. DSD chosen
    DSD is the former name of Australia’s national signals intelligence and information security agency, now known as the Australian Signals Directorate.
  • B. D.S.D.
    D.S.D. is the standard legal abbreviation for the United States District Court for the District of South Dakota, a federal trial court within the Eighth Circuit.
  • C. SDDS
    SDDS (Sony Dynamic Digital Sound) is a multichannel digital cinema sound format developed by Sony to provide high-quality, immersive audio in movie theaters.
  • D. DSB
    DSB is Denmark’s national railway company, responsible for operating most passenger train services across the country.
  • E. DSB
    DSB is Norway’s national authority responsible for civil protection, emergency preparedness, and accident prevention.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78ca4b0881909bb1fb550dba59e7 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd681457908190b39fa034e9ca05d5 completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:48 p.m.