Triple
T286332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Reactor |
E5892
|
entity |
| Predicate | coolant |
P10369
|
FINISHED |
| Object | light water |
—
|
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: light water | Statement: [B Reactor, coolant, light water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coolant Context triple: [B Reactor, coolant, light water]
-
A.
isCryogenic
Indicates that something operates at, is designed for, or involves extremely low (cryogenic) temperatures.
-
B.
engine
Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
-
C.
fueledBy
Indicates that one entity provides the energy or power source that enables the operation or functioning of another entity.
-
D.
hasRefuellingCapabilityFor
Indicates that one entity is capable of providing or performing refuelling operations for another entity.
-
E.
mainTankName
Indicates that the subject entity has the specified name as its primary or main tank designation.
- F. None of above. chosen
Provenance (4 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a2605b372c8190831570aa6532cc96 |
completed | Feb. 28, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69a25b7a8d148190aacdcc8ccb35c7f3 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a2605a3d988190a8872169fd8eb2e8 |
completed | Feb. 28, 2026, 3:26 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.