Triple

T12880670
Position Surface form Disambiguated ID Type / Status
Subject Commonwealth agencies E308083 entity
Predicate include P1393 FINISHED
Object Services Australia E962736 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: Services Australia | Statement: [Commonwealth agencies, include, Services Australia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Services Australia
Context triple: [Commonwealth agencies, include, Services Australia]
  • A. Services Australia chosen
    Services Australia is an Australian government agency responsible for delivering major social and health-related services and payments, including the administration of Medicare.
  • B. .au
    .au is the country code top-level domain (ccTLD) designated for websites associated with Australia.
  • C. AU
    AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
  • D. AU
    AU is a German vehicle registration code used on license plates to identify cars registered in the Erzgebirgskreis district of Saxony.
  • E. AU
    AU is the ISO 3166-1 alpha-2 country code for Australia, a large island nation and continent in the Southern Hemisphere.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:39 p.m.