Triple
T24083940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "whatever it takes" speech |
E596581
|
entity |
| Predicate | relatedCrisis |
P25894
|
FINISHED |
| Object | European sovereign debt crisis |
—
|
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: European sovereign debt crisis | Statement: ["whatever it takes" speech, relatedCrisis, European sovereign debt crisis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedCrisis Context triple: ["whatever it takes" speech, relatedCrisis, European sovereign debt crisis]
-
A.
crisisRelatedTo
chosen
Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
-
B.
notableCrisis
Indicates a significant crisis event that has prominently affected or defined the subject.
-
C.
relateradKonflikt
Indicates that there is a related or associated conflict between the entities involved.
-
D.
relatedMilitaryEvent
Indicates that two or more entities are connected through the same military event, operation, or conflict, such that one is contextually or causally related to that military occurrence involving the other.
-
E.
closelyAssociatedEvent
Indicates that one event is strongly related to, connected with, or occurs in close conjunction with another event.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc279ac48190b60a0753981f0b97 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:44 p.m.