Triple
T30826371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominion Cove Point LNG terminal |
E785077
|
entity |
| Predicate | hasLiquefactionCapacity |
P116745
|
FINISHED |
| Object | approximately 5.25 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 5.25 million tonnes per annum | Statement: [Dominion Cove Point LNG terminal, hasLiquefactionCapacity, approximately 5.25 million tonnes per annum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiquefactionCapacity Context triple: [Dominion Cove Point LNG terminal, hasLiquefactionCapacity, approximately 5.25 million tonnes per annum]
-
A.
hasLiquefactionTrain
chosen
Indicates that a facility or site includes a specific liquefaction train unit used to convert gas into liquefied form.
-
B.
hasMeltingMechanism
Indicates that an entity possesses a specific mechanism or process by which it melts or causes melting.
-
C.
canMelt
Indicates that one entity has the capability to melt another entity or substance under appropriate conditions.
-
D.
canBeDissolvedWith
Indicates that one entity is capable of being dissolved or broken down when exposed to another specified substance or medium.
-
E.
hasLiquidityCharacteristic
Indicates that one entity possesses or is associated with a particular liquidity-related property or feature in relation to another 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_69f224b6642481909e8d701de2cd1a53 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 29, 2026, 8:44 p.m.