Triple
T933546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Third Republic |
E20145
|
entity |
| Predicate | hasRegularElections |
P22629
|
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: [Portuguese Third Republic, hasRegularElections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegularElections Context triple: [Portuguese Third Republic, hasRegularElections, true]
-
A.
hasElectionsFor
Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
-
B.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
-
C.
electionCycle
Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
-
D.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
E.
lastElection
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b299c4d881908a57ac2711676cd7 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b3bab5788190a62a0e23a698f7c7 |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:40 p.m.