Triple
T23495159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouthe |
E571685
|
entity |
| Predicate | minimumRecordedTemperature |
P15651
|
FINISHED |
| Object | -41.2 °C |
—
|
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: -41.2 °C | Statement: [Mouthe, minimumRecordedTemperature, -41.2 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumRecordedTemperature Context triple: [Mouthe, minimumRecordedTemperature, -41.2 °C]
-
A.
recordLowTemperature
chosen
Indicates that a specified temperature value is the lowest recorded temperature for a given entity, location, or time period.
-
B.
minimumWinterTemperature
Indicates the lowest temperature typically experienced during the winter season for the subject entity.
-
C.
maximumRecordedTemperature
Indicates the highest temperature value that has been observed and recorded for a given entity or context.
-
D.
recordLowTemperatureYear
Indicates the year in which the lowest recorded temperature for a given place or entity occurred.
-
E.
averageMinTemperatureColdestMonth
Indicates the lowest average minimum temperature recorded during the coldest month in a given location or period.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7def8ac8190ade511299078d55b |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:05 p.m.