Triple
T35439279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PNG LNG project |
E1024296
|
entity |
| Predicate | numberOfLNGTrains |
—
|
GENERATED |
| Object | 2 |
—
|
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: numberOfLNGTrains Context triple: [PNG LNG project, numberOfLNGTrains, 2]
-
A.
LNGTrains
chosen
Indicates a relationship where liquefied natural gas (LNG) is processed, handled, or transported via specific LNG train units or facilities.
-
B.
designCapacityLNGWithTrain7
Indicates the liquefied natural gas (LNG) design production capacity specifically associated with train 7 of a facility.
-
C.
vehiclesPerTrain
Indicates the number of vehicles that are attached to or make up a single train.
-
D.
hasLNGTrain
Indicates that something possesses or is equipped with an LNG (liquefied natural gas) processing or transport train as part of its facilities or infrastructure.
-
E.
numberOfMajorLNGPlants
Indicates the quantity of major liquefied natural gas (LNG) plants associated with the given entity.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.