Triple

T5244985
Position Surface form Disambiguated ID Type / Status
Subject Soldier King E118435 entity
Predicate reducedExpenditureOn P9925 FINISHED
Object court luxury 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: court luxury | Statement: [Soldier King, reducedExpenditureOn, court luxury]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reducedExpenditureOn
Context triple: [Soldier King, reducedExpenditureOn, court luxury]
  • A. reducedCostOf
    Indicates that one entity represents a lowered or discounted cost associated with another entity, typically compared to a standard or original price.
  • B. reduces chosen
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • C. reducedDutyRateOn
    Indicates a relationship where a reduced customs or tax duty rate is applied to a specified item or transaction.
  • D. incomeUsedFor
    Indicates that some or all of an income amount is allocated or spent for a specified purpose, activity, or recipient.
  • E. reducedPowerOf
    Indicates that one entity has a diminished or weakened level of power, authority, or effectiveness relative to another or to its previous state.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4fa0ec8190bce3da09aa768726 completed March 20, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69bd77c1397c8190a7fd844d7a396e54 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:49 p.m.