Triple

T3324421
Position Surface form Disambiguated ID Type / Status
Subject Centre for Arab and Islamic Studies E69876 entity
Predicate locatedIn P40 FINISHED
Object Australia E876 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: Australia | Statement: [Centre for Arab and Islamic Studies, locatedIn, Australia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Australia
Context triple: [Centre for Arab and Islamic Studies, locatedIn, Australia]
  • A. Australia chosen
    Australia is a large island continent and sovereign country in the Southern Hemisphere, known for its unique wildlife, diverse landscapes, and major cities such as Sydney and Melbourne.
  • B. Aust
    Aust is a small village in South Gloucestershire, England, situated near the Severn Estuary and known historically for its ferry crossing and proximity to the Severn Bridge.
  • C. Tasmania
    Tasmania is an island state of Australia known for its rugged wilderness, unique wildlife, and relatively cool maritime climate.
  • D. AU
    AU is the commonly used abbreviation for the African Union, a continental organization that promotes political and economic cooperation among African states.
  • E. AU
    AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13ffcb48190a8b90543aac9e6e0 completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6fcb9c819084b0c2a1c8af9c49 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.