Triple
T13133693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Gend en Loos |
E312026
|
entity |
| Predicate | procedureArticleCurrentNumbering |
P17113
|
FINISHED |
| Object | Article 267 TFEU |
—
|
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: Article 267 TFEU | Statement: [Van Gend en Loos, procedureArticleCurrentNumbering, Article 267 TFEU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: procedureArticleCurrentNumbering Context triple: [Van Gend en Loos, procedureArticleCurrentNumbering, Article 267 TFEU]
-
A.
articleNumber
chosen
Indicates that one entity is identified or referenced by a specific article number assigned to it.
-
B.
numberingStatus
Indicates the status or condition of an entity’s assigned number or numbering process (e.g., whether it has been numbered, is pending, or has a particular numbering state).
-
C.
programSequenceNumber
Indicates the position or order of a program within a sequence or series of programs.
-
D.
projectNumber
Indicates a relationship where a specific identifying number is assigned to or associated with a particular project.
-
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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b3d72c8190b69ae56435a954fa |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d9804543cc8190a23cd7da59a12a7b |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:08 p.m.