Triple
T29401132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichthys LNG development |
E745644
|
entity |
| Predicate | LNGPlantCapacity |
P166741
|
FINISHED |
| Object | approximately 8.9 million tonnes per annum |
—
|
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: approximately 8.9 million tonnes per annum | Statement: [Ichthys LNG development, LNGPlantCapacity, approximately 8.9 million tonnes per annum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LNGPlantCapacity Context triple: [Ichthys LNG development, LNGPlantCapacity, approximately 8.9 million tonnes per annum]
-
A.
LNGPlantCharacteristic
Indicates that a characteristic or attribute is associated with an LNG (liquefied natural gas) plant.
-
B.
numberOfMajorLNGPlants
Indicates the quantity of major liquefied natural gas (LNG) plants associated with the given entity.
-
C.
designCapacityLNGWithTrain7
Indicates the liquefied natural gas (LNG) design production capacity specifically associated with train 7 of a facility.
-
D.
LNGPlantStartOfOperation
Indicates the point in time when an LNG (liquefied natural gas) plant begins its operational activities.
-
E.
solarPlantCapacity
Indicates the maximum electrical power output that a solar power plant is designed or able to produce.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a0772648190b5083f0fa099137c |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:51 p.m.