Triple
T35251490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junta de Freguesia |
E1018102
|
entity |
| Predicate | hasDemocraticNature |
P86361
|
FINISHED |
| Object | elected local authority |
—
|
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: elected local authority | Statement: [Junta de Freguesia, hasDemocraticNature, elected local authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDemocraticNature Context triple: [Junta de Freguesia, hasDemocraticNature, elected local authority]
-
A.
democraticType
Indicates that an entity is characterized by or associated with a particular form or type of democracy.
-
B.
areDemocracies
Indicates that the entities being related are political systems or states that operate under democratic governance.
-
C.
hasDemocraticElement
chosen
Indicates that something includes or embodies aspects of democratic principles, processes, or participation.
-
D.
isDemocraticProcess
Indicates that the process is conducted according to democratic principles, such as participation, representation, and collective decision-making by those affected.
-
E.
isDemocraticallyElected
Indicates that an individual or body has attained their position of authority through a formal democratic voting process by eligible participants.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.