Triple
T20181654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbin–Dalian High-Speed Railway |
E492740
|
entity |
| Predicate | climateDesignTemperature |
P56311
|
FINISHED |
| Object | as low as −40 °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: as low as −40 °C | Statement: [Harbin–Dalian High-Speed Railway, climateDesignTemperature, as low as −40 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateDesignTemperature Context triple: [Harbin–Dalian High-Speed Railway, climateDesignTemperature, as low as −40 °C]
-
A.
temperatureConditions
Indicates the specific thermal or weather-related temperature state or range affecting an entity or situation.
-
B.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
C.
designedForClimate
chosen
Indicates that something has been intentionally created or adapted to function optimally under specific climate or environmental conditions.
-
D.
settingClimate
Indicates that an entity adjusts or defines the climate or environmental conditions for another entity or context.
-
E.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ef9370819091a8479f811002a9 |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.