Triple

T25842339
Position Surface form Disambiguated ID Type / Status
Subject Attack-class submarine E650968 entity
Predicate programCostEstimate P4259 FINISHED
Object tens of billions of Australian dollars LITERAL 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: tens of billions of Australian dollars | Statement: [Attack-class submarine, programCostEstimate, tens of billions of Australian dollars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: programCostEstimate
Context triple: [Attack-class submarine, programCostEstimate, tens of billions of Australian dollars]
  • A. programCost
    Indicates the monetary or resource expenditure required to implement, run, or participate in a particular program.
  • B. estimatedCost chosen
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • C. programCostType
    Indicates the type or category of cost associated with a program.
  • D. economicCost
    Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
  • E. projectCostContext
    Indicates the contextual factors or conditions under which a project's cost is defined, calculated, or interpreted.
  • F. None of above.

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_69e7ab38086081908f3a8e7e0c6efd83 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6023564c08190a719144479d6a1b2 completed May 2, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
Created at: April 22, 2026, 7:50 a.m.