Triple
T18871691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese law |
E461583
|
entity |
| Predicate | euMembershipEffect |
P89034
|
FINISHED |
| Object | primacy of EU law over ordinary legislation |
—
|
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: primacy of EU law over ordinary legislation | Statement: [Portuguese law, euMembershipEffect, primacy of EU law over ordinary legislation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: euMembershipEffect Context triple: [Portuguese law, euMembershipEffect, primacy of EU law over ordinary legislation]
-
A.
effectOnMembers
Indicates the impact or influence that something has on the members of a group or organization.
-
B.
effectOfUnion
Indicates the outcome or consequence that results from forming a union or combining entities.
-
C.
effectOnUnion
chosen
Indicates the impact or influence that something has on a union as a whole.
-
D.
membershipDecidedBy
Indicates that the determination of whether an entity is granted membership in a group, organization, or set is made by another specified entity or process.
-
E.
EuropeanAffiliation
Indicates that an entity is associated with Europe, such as by membership, origin, operation, or jurisdiction within European countries or institutions.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a9dd04819083133ded30337962 |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.