Triple
T19638018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakhalin-II |
E471452
|
entity |
| Predicate | LNGPlantCharacteristic |
P136785
|
FINISHED |
| Object | one of the world’s northernmost LNG plants |
—
|
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: one of the world’s northernmost LNG plants | Statement: [Sakhalin-II, LNGPlantCharacteristic, one of the world’s northernmost LNG plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LNGPlantCharacteristic Context triple: [Sakhalin-II, LNGPlantCharacteristic, one of the world’s northernmost LNG plants]
-
A.
powerPlantFeature
Indicates a characteristic, component, or attribute that is specifically associated with a power plant.
-
B.
operatesOneOfWorldsLargestLNGFacilities
Indicates that the subject operates one of the largest liquefied natural gas (LNG) processing or export facilities in the world.
-
C.
designCapacityLNGWithTrain7
Indicates the liquefied natural gas (LNG) design production capacity specifically associated with train 7 of a facility.
-
D.
powerplantLocation
Indicates that a power plant is situated at or associated with a specific geographic location.
-
E.
powerplantLicenseBuiltAs
Indicates that a power plant has been constructed in accordance with, or as specified by, a particular license.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64107f3fc8190ace6ae67287d280c |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.