Triple
T30395726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adama Barrow |
E773212
|
entity |
| Predicate | electionVictoryDescribedAs |
P7692
|
FINISHED |
| Object | landmark election |
—
|
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: landmark election | Statement: [Adama Barrow, electionVictoryDescribedAs, landmark election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionVictoryDescribedAs Context triple: [Adama Barrow, electionVictoryDescribedAs, landmark election]
-
A.
wonLandslideIn
Indicates that an entity achieved an overwhelming or landslide victory in a specified contest, election, or event.
-
B.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
C.
grantedVictoryBy
Indicates that one entity is awarded or credited with a victory by another entity.
-
D.
electionWinner
Indicates that the subject is the candidate who received the highest support and officially won a particular election.
-
E.
electoralSuccess
chosen
Indicates that an entity has achieved a favorable or winning outcome in an election or electoral 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 29, 2026, 8:02 p.m.