Triple
T29585496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | belg rainy season (Ethiopia) |
E753707
|
entity |
| Predicate | impactOfFailure |
P54758
|
FINISHED |
| Object | crop failure |
—
|
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: crop failure | Statement: [belg rainy season (Ethiopia), impactOfFailure, crop failure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfFailure Context triple: [belg rainy season (Ethiopia), impactOfFailure, crop failure]
-
A.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
B.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
C.
impactOutcome
chosen
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
-
D.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
E.
impactLevel
Indicates the degree or intensity of effect that one entity, action, or event has on another.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 6:10 p.m.