Triple
T895735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ombudsman of Portugal |
E19341
|
entity |
| Predicate | canActOnOwnInitiative |
P20805
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ombudsman of Portugal, canActOnOwnInitiative, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canActOnOwnInitiative Context triple: [Ombudsman of Portugal, canActOnOwnInitiative, true]
-
A.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
B.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
C.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
D.
canElect
Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
-
E.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a4ab4a38ec8190915916d80299ab55 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.