Triple
T895742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ombudsman of Portugal |
E19341
|
entity |
| Predicate | mayPropose |
P32
|
FINISHED |
| Object | legislative changes |
—
|
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: legislative changes | Statement: [Ombudsman of Portugal, mayPropose, legislative changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayPropose Context triple: [Ombudsman of Portugal, mayPropose, legislative changes]
-
A.
proposes
chosen
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
B.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
C.
wouldProvide
Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
-
D.
mayAdvanceTo
Indicates that one entity is permitted or eligible to progress, move, or be promoted to another specified state, level, or position.
-
E.
mayResultIn
Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad23d6e88190a2fb5e1e168a7b44 |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa94f7c881908deeb62308942e19 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.