Triple
T2780109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSZMP |
E61670
|
entity |
| Predicate | allowedElections |
P19539
|
FINISHED |
| Object | non-competitive elections |
—
|
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: non-competitive elections | Statement: [MSZMP, allowedElections, non-competitive elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowedElections Context triple: [MSZMP, allowedElections, non-competitive elections]
-
A.
appliesToElectionType
Indicates that a rule, condition, or attribute is relevant or applicable to a specific type or category of election.
-
B.
hasElectionsFor
Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
-
C.
hasElectionType
chosen
Indicates the specific category or kind of election associated with a given electoral event or process.
-
D.
associatedWithElection
Indicates a relationship where something is connected or related to a specific election, such as being part of its process, context, or outcomes.
-
E.
allowedOppositionCandidates
Indicates that certain opposition candidates were permitted to participate, typically in an election or political process.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.