Triple
T16863251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motiva Port Arthur Refinery |
E409973
|
entity |
| Predicate | hasRefiningCapacity |
P122488
|
FINISHED |
| Object | over 600,000 barrels per day |
—
|
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: over 600,000 barrels per day | Statement: [Motiva Port Arthur Refinery, hasRefiningCapacity, over 600,000 barrels per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefiningCapacity Context triple: [Motiva Port Arthur Refinery, hasRefiningCapacity, over 600,000 barrels per day]
-
A.
hasRefinery
Indicates that one entity possesses, operates, or is associated with a refinery facility used for processing raw materials.
-
B.
refiningCapacityBarrelsPerDayApprox
chosen
Indicates the approximate amount of crude oil a refinery can process, measured in barrels per day.
-
C.
hasRefuellingCapabilityFor
Indicates that one entity is capable of providing or performing refuelling operations for another entity.
-
D.
unitCapacity
Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
-
E.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50488fc8190b3b646543c3ba476 |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.