Triple
T10341719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurodac system |
E243141
|
entity |
| Predicate | dataSubjectCategory |
P54071
|
FINISHED |
| Object | asylum applicants |
—
|
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: asylum applicants | Statement: [Eurodac system, dataSubjectCategory, asylum applicants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataSubjectCategory Context triple: [Eurodac system, dataSubjectCategory, asylum applicants]
-
A.
dataSubject
Indicates that one entity is the individual to whom the personal data or information in question relates.
-
B.
dataSubjects
chosen
Indicates a relationship where certain individuals or entities are the subjects about whom data is collected, processed, or referenced.
-
C.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
D.
coreCategory
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
-
E.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:55 a.m.