Triple
T3778687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Oil |
E83368
|
entity |
| Predicate | controlledMarketShareOfU.S.Refining |
P17018
|
FINISHED |
| Object | over 90% at its peak |
—
|
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 90% at its peak | Statement: [Standard Oil, controlledMarketShareOfU.S.Refining, over 90% at its peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlledMarketShareOfU.S.Refining Context triple: [Standard Oil, controlledMarketShareOfU.S.Refining, over 90% at its peak]
-
A.
marketShareUS
chosen
Indicates the proportion of a product, company, or brand’s total sales or volume within the United States market relative to the overall U.S. market size.
-
B.
percentageOfGlobalOilConsumption
Indicates the proportion of total worldwide oil consumption that is attributable to a specific entity or group.
-
C.
federalShareOfStock
Indicates the proportion or amount of stock in an entity that is owned or held by the federal government.
-
D.
percentageOfSeaborneOilTrade
Indicates the proportion of global oil trade that is transported by sea relative to the total oil trade.
-
E.
purchasedByUnitedStatesIn
Indicates that something was bought or acquired by the United States during a specified time period.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.