Triple
T13484895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaibasa |
E318469
|
entity |
| Predicate | averageSummerTemperature_C |
P63362
|
FINISHED |
| Object | around 30–40 |
—
|
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 30–40 | Statement: [Chaibasa, averageSummerTemperature_C, around 30–40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageSummerTemperature_C Context triple: [Chaibasa, averageSummerTemperature_C, around 30–40]
-
A.
averageSummerTemperatureC
chosen
Indicates the typical or mean air temperature, measured in degrees Celsius, experienced at a location during the summer season.
-
B.
averageSummerHighTemperatureF
Indicates the typical maximum daily air temperature, measured in degrees Fahrenheit, during the summer season for a given location or period.
-
C.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
D.
averageSummerTemperatureComparedToNationalAverage
Indicates how an entity’s average summer temperature compares in magnitude or difference to the national average summer temperature.
-
E.
summerTemperatureRange_C
Indicates the range of temperatures, measured in degrees Celsius, that typically occur during the summer period for a given entity or location.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.