Triple
T35439279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PNG LNG project |
E1024296
|
entity |
| Predicate | numberOfLNGTrains |
P166744
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [PNG LNG project, numberOfLNGTrains, 2]
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 (3 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.