Triple
T19839030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legislatures of Portugal |
E476673
|
entity |
| Predicate | legislatureRole |
P4024
|
FINISHED |
| Object | enactment of laws |
—
|
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: enactment of laws | Statement: [Legislatures of Portugal, legislatureRole, enactment of laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislatureRole Context triple: [Legislatures of Portugal, legislatureRole, enactment of laws]
-
A.
legislativeRole
chosen
Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
-
B.
legislator
Indicates that an entity serves as a member of a law-making body with authority to propose, debate, or vote on legislation.
-
C.
legislature
Indicates that an entity serves as, or is part of, a law-making body or assembly responsible for creating or amending laws for a political unit.
-
D.
legislatureComponent
Indicates that one entity is a constituent part or chamber of a larger legislative body.
-
E.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65803bb988190a4e7c0035058feba |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.