Triple
T2704928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ruapehu |
E59319
|
entity |
| Predicate | typicalCraterLakeTemperatureRange |
P9975
|
FINISHED |
| Object | cold to >40 °C during unrest |
—
|
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: cold to >40 °C during unrest | Statement: [Mount Ruapehu, typicalCraterLakeTemperatureRange, cold to >40 °C during unrest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCraterLakeTemperatureRange Context triple: [Mount Ruapehu, typicalCraterLakeTemperatureRange, cold to >40 °C during unrest]
-
A.
craterLakeDepth
Indicates the depth measurement of a crater lake, typically from its surface to the deepest point.
-
B.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
C.
surfaceTemperatureRange
chosen
Indicates the range between the minimum and maximum surface temperatures observed or allowed for an entity.
-
D.
growthTemperatureRange
Indicates the range of temperatures within which an organism or entity can grow or function effectively.
-
E.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda518c58819096c8b67c0f754655 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.