Triple
T4693072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese elections |
E104078
|
entity |
| Predicate | legislativeElectionsFrequency |
P43028
|
FINISHED |
| Object | every 4 years |
—
|
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: every 4 years | Statement: [Portuguese elections, legislativeElectionsFrequency, every 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeElectionsFrequency Context triple: [Portuguese elections, legislativeElectionsFrequency, every 4 years]
-
A.
legislativePeriodicity
Indicates how frequently a legislative body or process recurs or is scheduled to occur over time.
-
B.
constitutionalFrequency
Indicates how often a constitutional or fundamental condition, symptom, or state occurs over a given period.
-
C.
assemblyElectionsHeldEvery
chosen
Indicates that legislative assembly elections are conducted at a regular interval specified by the associated value.
-
D.
portionUpForElectionEachCycle
Indicates what fraction of the total membership or seats is contested in each election cycle.
-
E.
legislativePeriod
Indicates the specific legislative term or session during which an action, event, or status is valid or took place.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.