Triple
T895756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ombudsman of Portugal |
E19341
|
entity |
| Predicate | canReceiveComplaintsFrom |
P12578
|
FINISHED |
| Object | foreign residents in Portugal |
—
|
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: foreign residents in Portugal | Statement: [Ombudsman of Portugal, canReceiveComplaintsFrom, foreign residents in Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canReceiveComplaintsFrom Context triple: [Ombudsman of Portugal, canReceiveComplaintsFrom, foreign residents in Portugal]
-
A.
canBeAppealedTo
Indicates that a decision, action, or authority is subject to being challenged or reviewed by a higher or alternative authority through an appeal process.
-
B.
receivedSupportFrom
Indicates that one entity obtained help, resources, or backing from another entity.
-
C.
acceptsSubmissionsFrom
chosen
Indicates that one entity receives and is willing to consider submissions (such as content, proposals, or applications) originating from another entity.
-
D.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
E.
canEnterIntoAgreementsWith
Indicates that one entity has the legal or formal capacity to make binding agreements or contracts with another entity.
- 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.