Triple

T4344736
Position Surface form Disambiguated ID Type / Status
Subject European Financial Stability Facility E97871 entity
Predicate maximumLendingCapacity P14460 FINISHED
Object 440 billion euro 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: 440 billion euro | Statement: [European Financial Stability Facility, maximumLendingCapacity, 440 billion euro]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumLendingCapacity
Context triple: [European Financial Stability Facility, maximumLendingCapacity, 440 billion euro]
  • A. maximumLoanAmountUSD
    Indicates the highest amount of money, expressed in U.S. dollars, that can be loaned under a given agreement or condition.
  • B. maximumCapacity chosen
    Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
  • C. loanLimitType
    Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
  • D. maximumGrantAmount
    Indicates the highest monetary value that can be awarded or granted under a specific grant, program, or agreement.
  • E. maximumBondMaturity
    Indicates the longest allowable or actual time period until a bond tied to an entity reaches its maturity date.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518aa5cc8190b50f47b1070715fe completed March 12, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69b34f4fe1c481908d6d66e15697c04b completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:15 p.m.