Triple
T29400940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichthys gas field |
E745638
|
entity |
| Predicate | LNGCapacity_MTPA |
P166737
|
FINISHED |
| Object | approximately 8.9 |
—
|
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 | Statement: [Ichthys gas field, LNGCapacity_MTPA, approximately 8.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LNGCapacity_MTPA Context triple: [Ichthys gas field, LNGCapacity_MTPA, approximately 8.9]
-
A.
designCapacityLNGWithTrain7
Indicates the liquefied natural gas (LNG) design production capacity specifically associated with train 7 of a facility.
-
B.
numberOfMajorLNGPlants
Indicates the quantity of major liquefied natural gas (LNG) plants associated with the given entity.
-
C.
LNGPlantCharacteristic
Indicates that a characteristic or attribute is associated with an LNG (liquefied natural gas) plant.
-
D.
operatesOneOfWorldsLargestLNGFacilities
Indicates that the subject operates one of the largest liquefied natural gas (LNG) processing or export facilities in the world.
-
E.
unitCapacity
Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
- 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, 2:50 p.m.