Triple
T310931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H Reactor |
E7604
|
entity |
| Predicate | heatRemovalMethod |
P10369
|
FINISHED |
| Object | forced-circulation water cooling |
—
|
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: forced-circulation water cooling | Statement: [H Reactor, heatRemovalMethod, forced-circulation water cooling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heatRemovalMethod Context triple: [H Reactor, heatRemovalMethod, forced-circulation water cooling]
-
A.
removalMechanism
Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
-
B.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
C.
furnaceType
Indicates the specific kind or category of furnace associated with an entity.
-
D.
coolant
chosen
Indicates that one entity functions as a coolant for another, serving to absorb and remove heat from it.
-
E.
operatingTemperature
Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea49636c8190a69cbd951fc0a4db |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.