Triple
T36637967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECRIS-TCN |
E904510
|
entity |
| Predicate | dataProcessor |
P186107
|
FINISHED |
| Object | eu-LISA for the central system |
—
|
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: eu-LISA for the central system | Statement: [ECRIS-TCN, dataProcessor, eu-LISA for the central system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataProcessor Context triple: [ECRIS-TCN, dataProcessor, eu-LISA for the central system]
-
A.
dataProcessingStyle
Indicates the manner, method, or approach by which data is processed or handled in a given context.
-
B.
dataProcessedAt
Indicates the time or location at which the data was processed.
-
C.
dataProcessingInequality
Indicates that processing data through a (possibly noisy) transformation cannot increase the information one variable has about another, so the mutual information between them can only stay the same or decrease.
-
D.
data
Indicates that one entity serves as informational content, measurements, or recorded values associated with another entity.
-
E.
dataProcessingConsortium
Indicates a collaborative arrangement in which multiple parties jointly process, manage, or analyze data under shared rules or agreements.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.