Triple
T15932156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Deposit Insurance Scheme |
E386347
|
entity |
| Predicate | introducedInPolicyDebate |
P30994
|
FINISHED |
| Object | mid-2010s |
—
|
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: mid-2010s | Statement: [European Deposit Insurance Scheme, introducedInPolicyDebate, mid-2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInPolicyDebate Context triple: [European Deposit Insurance Scheme, introducedInPolicyDebate, mid-2010s]
-
A.
enteredPoliticalDebateIn
chosen
Indicates that an entity took part in a political debate that occurred in a specified place or context.
-
B.
inspiredPolicyDebate
Indicates that one entity’s ideas, actions, or statements sparked or significantly influenced a policy debate involving another entity.
-
C.
debatedBetween
Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
-
D.
debatedAs
Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
-
E.
goalInDebate
Indicates that one party has a specific objective or desired outcome they are trying to achieve within the context of a debate or argumentative exchange.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.