Triple
T24993746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Country-Specific Recommendations |
E625512
|
entity |
| Predicate | monitoringFramework |
P157523
|
FINISHED |
| Object | European Semester surveillance |
—
|
NE NERFINISHED |
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 Semester surveillance | Statement: [Country-Specific Recommendations, monitoringFramework, European Semester surveillance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitoringFramework Context triple: [Country-Specific Recommendations, monitoringFramework, European Semester surveillance]
-
A.
monitoringRequirement
Indicates that one entity is obligated to observe, track, or regularly check another entity or process according to specified criteria or conditions.
-
B.
monitoringApproach
Indicates the method or strategy used to observe, track, or assess a process, condition, or entity over time.
-
C.
monitoringBody
Indicates that one entity is responsible for overseeing, supervising, or tracking the activities, performance, or compliance of another entity.
-
D.
monitoringTarget
Indicates that one entity is being observed, tracked, or supervised by another as the focus of monitoring activities.
-
E.
monitoringOutput
Indicates that one entity observes, records, or tracks the performance, behavior, or results produced by another entity or process.
- F. None of above. chosen
Provenance (4 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a4787948190874b230f692d16c7 |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:04 a.m.