Triple
T32959806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Gas-cooled Reactor |
E843202
|
entity |
| Predicate | steamRaisingMethod |
P90830
|
FINISHED |
| Object | heat transfer from CO2 to water in boilers |
—
|
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: heat transfer from CO2 to water in boilers | Statement: [Advanced Gas-cooled Reactor, steamRaisingMethod, heat transfer from CO2 to water in boilers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steamRaisingMethod Context triple: [Advanced Gas-cooled Reactor, steamRaisingMethod, heat transfer from CO2 to water in boilers]
-
A.
steamGenerationMethod
chosen
Indicates the method or process by which steam is produced or generated.
-
B.
typicalBoilingTime
Indicates the usual duration required for something to reach or remain at its boiling point under standard conditions.
-
C.
heatingMethod
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
-
D.
brewingMethod
Indicates the technique or process used to brew or prepare a beverage, typically coffee or tea.
-
E.
boilerType
Indicates the specific kind or category of boiler associated with an entity, such as its design, fuel source, or operating characteristics.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:21 a.m.