Triple
T20322837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glennallen, Alaska |
E492251
|
entity |
| Predicate | averageJulyTemperatureF |
P4814
|
FINISHED |
| Object | about 56 |
—
|
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: about 56 | Statement: [Glennallen, Alaska, averageJulyTemperatureF, about 56]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageJulyTemperatureF Context triple: [Glennallen, Alaska, averageJulyTemperatureF, about 56]
-
A.
averageHighTemperatureInJuly
Indicates the typical or mean value of the highest daily temperatures recorded during the month of July for a given location.
-
B.
averageJulyTemperatureRange
Indicates the range between the lowest and highest average temperatures recorded during the month of July for a given location or context.
-
C.
averageSummerHighTemperatureF
Indicates the typical maximum daily air temperature, measured in degrees Fahrenheit, during the summer season for a given location or period.
-
D.
averageTemperature
chosen
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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778d95dc81909b1c87d26b5d3a33 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:20 a.m.