Triple
T7929866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon gubernatorial election |
E184160
|
entity |
| Predicate | outcomeAffects |
P54758
|
FINISHED |
| Object | executive leadership of Oregon |
—
|
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: executive leadership of Oregon | Statement: [Oregon gubernatorial election, outcomeAffects, executive leadership of Oregon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeAffects Context triple: [Oregon gubernatorial election, outcomeAffects, executive leadership of Oregon]
-
A.
impactOutcome
chosen
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
-
B.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
C.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
-
D.
affectsBenefit
Indicates that one entity has an influence on, modifies, or determines the benefit or advantage received by another entity.
-
E.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acb6cb88190b4f31b7091881241 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:07 p.m.