Triple
T455262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Clearing Union |
E7218
|
entity |
| Predicate | aimedAtProblem |
P12801
|
FINISHED |
| Object | global liquidity shortage |
—
|
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: global liquidity shortage | Statement: [International Clearing Union, aimedAtProblem, global liquidity shortage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimedAtProblem Context triple: [International Clearing Union, aimedAtProblem, global liquidity shortage]
-
A.
underlyingIssue
chosen
Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
-
B.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
-
C.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
issues
Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
-
E.
aimedToImplement
Indicates that an entity had the intention or plan to carry out, realize, or put another entity (such as a policy, idea, or system) into effect.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef9f772c8190863399c5ee1378fe |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.