Triple
T6846393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McMurdo Sound |
E157904
|
entity |
| Predicate | typicalSummerTemperature |
P71961
|
FINISHED |
| Object | around −5 °C to 0 °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: around −5 °C to 0 °C | Statement: [McMurdo Sound, typicalSummerTemperature, around −5 °C to 0 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSummerTemperature Context triple: [McMurdo Sound, typicalSummerTemperature, around −5 °C to 0 °C]
-
A.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
B.
averageSummerTemperatureC
Indicates the typical or mean air temperature, measured in degrees Celsius, experienced at a location during the summer season.
-
C.
summerTemperatureRange_C
chosen
Indicates the range of temperatures, measured in degrees Celsius, that typically occur during the summer period for a given entity or location.
-
D.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
E.
averageWarmestMonth
Indicates the relationship between a place and the month in which its long-term average temperature is highest.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cbe4488190b41ddf953f12f55f |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.