Triple
T34224689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortlach |
E878012
|
entity |
| Predicate | hasCondensers |
—
|
GENERATED |
| Object | worm tubs |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCondensers Context triple: [Mortlach, hasCondensers, worm tubs]
-
A.
usesCondensers
chosen
Indicates that one entity employs or incorporates condensers in performing its function or process.
-
B.
hasBaffleSystem
Indicates that an entity is equipped with or incorporates a baffle system as part of its design or function.
-
C.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
-
D.
hasCoolingTowers
Indicates that an entity possesses or is equipped with one or more cooling towers as part of its infrastructure or system.
-
E.
hasCoolingTunnels
Indicates that something is equipped with or contains tunnels specifically used for cooling purposes.
- F. None of above.
Provenance (1 batch)
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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:55 a.m.