Triple
T2558080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GANA |
E56774
|
entity |
| Predicate | electoralOutcome2019 |
P7692
|
FINISHED |
| Object | won presidency with Nayib Bukele |
—
|
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: won presidency with Nayib Bukele | Statement: [GANA, electoralOutcome2019, won presidency with Nayib Bukele]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralOutcome2019 Context triple: [GANA, electoralOutcome2019, won presidency with Nayib Bukele]
-
A.
seatsWonIn2019ParliamentaryElection
Indicates the number of seats an entity secured in the 2019 parliamentary election.
-
B.
numberOfSeatsWonIn2019ParliamentaryElection
Indicates the number of seats an entity won in the 2019 parliamentary election.
-
C.
politicalOutcome
Indicates the result or consequence of a political process, decision, event, or interaction.
-
D.
electoralSuccess
chosen
Indicates that an entity has achieved a favorable or winning outcome in an election or electoral process.
-
E.
rulingPartyAfterElection
Indicates which political party holds governing power following the conclusion of an election.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.