Triple
T7053645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulation (EU) 2019/787 |
E164030
|
entity |
| Predicate | OJIssuesNumber |
P31088
|
FINISHED |
| Object | 130 |
—
|
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: 130 | Statement: [Regulation (EU) 2019/787, OJIssuesNumber, 130]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OJIssuesNumber Context triple: [Regulation (EU) 2019/787, OJIssuesNumber, 130]
-
A.
numberOfIssues
chosen
Indicates the quantity of issues associated with a given entity or context.
-
B.
firstIssueNumber
Indicates the issue number at which something (such as a series, feature, or character) first appeared or began.
-
C.
OJNumber
Indicates that an entity is assigned a specific official journal or case identification number used for tracking or reference.
-
D.
finalIssueNumber
Indicates the issue number assigned to the last or concluding installment in a series or publication run.
-
E.
opusNumber
Indicates that a creative work is assigned a specific opus number identifying its place within a creator’s catalog or chronological sequence of works.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.