Triple
T35439289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PNG LNG project |
E1024296
|
entity |
| Predicate | firstLNGCargo |
—
|
GENERATED |
| Object | 2014 |
—
|
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: firstLNGCargo Context triple: [PNG LNG project, firstLNGCargo, 2014]
-
A.
firstOperationalCargoMission
Indicates that the subject entity is the earliest or initial cargo mission to be put into operational service for the related program, system, or route.
-
B.
firstFlightPayload
Indicates that the object is the payload carried on an entity’s first flight.
-
C.
mainCargo
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
D.
firstCargoMissionProgram
chosen
Indicates that the subject is the first cargo mission within a given program or series of missions.
-
E.
LNGTrains
Indicates a relationship where liquefied natural gas (LNG) is processed, handled, or transported via specific LNG train units or facilities.
- 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.