Triple

T14013305
Position Surface form Disambiguated ID Type / Status
Subject United Nations Compensation Commission E337140 entity
Predicate compensationPaid P88497 FINISHED
Object over 50 billion US dollars (approximate) 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: over 50 billion US dollars (approximate) | Statement: [United Nations Compensation Commission, compensationPaid, over 50 billion US dollars (approximate)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compensationPaid
Context triple: [United Nations Compensation Commission, compensationPaid, over 50 billion US dollars (approximate)]
  • A. providedCompensationAmount chosen
    Indicates the specific amount of compensation that was given or agreed to be given in relation to an action, event, or obligation.
  • B. compensated
    Indicates that one entity provides payment or some form of recompense to another entity in return for goods, services, or loss incurred.
  • C. compensationIncludes
    Indicates that a specified form of payment or benefit is part of the overall compensation provided in a given context.
  • D. compensationModel
    Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
  • E. compensationRate
    Indicates the rate or amount of payment provided in exchange for a specified unit of work, time, or service.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f37d11481909159bdb9e1e8d38e completed April 14, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69de05a802ac819090604025aae6a4d5 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:19 p.m.