Triple
T29585493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | belg rainy season (Ethiopia) |
E753707
|
entity |
| Predicate | rainfallReliability |
P167478
|
FINISHED |
| Object | less reliable than kiremt rainy season |
—
|
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: less reliable than kiremt rainy season | Statement: [belg rainy season (Ethiopia), rainfallReliability, less reliable than kiremt rainy season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rainfallReliability Context triple: [belg rainy season (Ethiopia), rainfallReliability, less reliable than kiremt rainy season]
-
A.
rainfallLevel
Indicates the amount or intensity of rainfall occurring at a given place and time.
-
B.
rainfallImpact
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
-
C.
snowReliability
Indicates how consistently and dependably snow is present or available in a given context or location.
-
D.
collectsRainfallFor
Indicates that one entity gathers or measures rainfall on behalf of, or for the benefit of, another entity.
-
E.
rainfallPeak
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
- F. None of above. chosen
Provenance (4 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_69f66d7d3ac48190adef6aa96f5a5b45 |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:10 p.m.