Triple
T16474636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fawley oil refinery |
E400156
|
entity |
| Predicate | productionCapacity |
P122921
|
FINISHED |
| Object | approximately 270000 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: approximately 270000 barrels per day | Statement: [Fawley oil refinery, productionCapacity, approximately 270000 barrels per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionCapacity Context triple: [Fawley oil refinery, productionCapacity, approximately 270000 barrels per day]
-
A.
peakProductionRate
Indicates the maximum rate at which something can be produced over a given period under specified conditions.
-
B.
productionScale
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
C.
capacityPerHour
Indicates the maximum amount of output or throughput an entity can handle or produce in one hour.
-
D.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
E.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd32e048190a9eadd32d6b9374c |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:13 a.m.