Triple
T15215927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rules of Procedure of the Federal Council |
E363635
|
entity |
| Predicate | typeOfBodyRegulated |
P34837
|
FINISHED |
| Object | federal legislative organ |
—
|
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: federal legislative organ | Statement: [Rules of Procedure of the Federal Council, typeOfBodyRegulated, federal legislative organ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBodyRegulated Context triple: [Rules of Procedure of the Federal Council, typeOfBodyRegulated, federal legislative organ]
-
A.
typeOfResourceRegulated
Indicates that one entity specifies the kind or category of resource that is subject to regulation by another entity.
-
B.
regulatoryType
Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
-
C.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
D.
subjectToRegulation
chosen
Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
-
E.
establishedBodyType
Indicates that an entity has formally created, founded, or set up a particular organizational body or structure.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.