Triple
T4318249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurorealism |
E96445
|
entity |
| Predicate | framesItselfAs |
P42942
|
FINISHED |
| Object | realistic approach to European integration |
—
|
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: realistic approach to European integration | Statement: [Eurorealism, framesItselfAs, realistic approach to European integration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: framesItselfAs Context triple: [Eurorealism, framesItselfAs, realistic approach to European integration]
-
A.
framesAs
chosen
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
B.
frameOfAction
Indicates the contextual situation, setting, or circumstances within which an action or event takes place.
-
C.
framedBy
Indicates that one entity serves as a surrounding boundary or enclosing structure that visually or conceptually frames another entity.
-
D.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
E.
frameDependent
Indicates that the truth or interpretation of the relationship depends on the particular reference frame, context, or perspective from which it is evaluated.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f883c88190a2d72f7d124eef43 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.