Triple
T30094059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joaquín Balaguer presidency |
E764813
|
entity |
| Predicate | electionsDescribedAs |
P99645
|
FINISHED |
| Object | fraudulent by opposition |
—
|
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: fraudulent by opposition | Statement: [Joaquín Balaguer presidency, electionsDescribedAs, fraudulent by opposition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionsDescribedAs Context triple: [Joaquín Balaguer presidency, electionsDescribedAs, fraudulent by opposition]
-
A.
electoralNature
chosen
Indicates that something has the character, features, or conditions related to elections or the electoral process.
-
B.
electionsAdministeredBy
Indicates that the specified elections are organized, managed, or overseen by the given administrative authority or body.
-
C.
typeOfElectionCovered
Indicates that one entity specifies the kind or category of election to which another entity applies or is relevant.
-
D.
electionIs
Indicates that a particular event, process, or state qualifies as or constitutes an election.
-
E.
elects
Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 29, 2026, 7:06 p.m.