Triple
T11192382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burrup Peninsula |
E264832
|
entity |
| Predicate | averageRainfallPattern |
P40039
|
FINISHED |
| Object | summer-dominant rainfall |
—
|
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: summer-dominant rainfall | Statement: [Burrup Peninsula, averageRainfallPattern, summer-dominant rainfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageRainfallPattern Context triple: [Burrup Peninsula, averageRainfallPattern, summer-dominant rainfall]
-
A.
averageAnnualPrecipitation
Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
-
B.
rainfallLevel
Indicates the amount or intensity of rainfall occurring at a given place and time.
-
C.
rainfallPeak
chosen
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
-
D.
rainfallImpact
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
-
E.
primaryRainySeasonFor
Indicates that one entity is the main or most significant rainy season associated with a particular place or region.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.