Triple
T34560965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anacortes, Washington, United States |
E887339
|
entity |
| Predicate | hasNearbyRefinery |
P16607
|
FINISHED |
| Object | Marathon Anacortes Refinery |
—
|
NE NERFINISHED |
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: Marathon Anacortes Refinery | Statement: [Anacortes, Washington, United States, hasNearbyRefinery, Marathon Anacortes Refinery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyRefinery Context triple: [Anacortes, Washington, United States, hasNearbyRefinery, Marathon Anacortes Refinery]
-
A.
hasRefinery
chosen
Indicates that one entity possesses, operates, or is associated with a refinery facility used for processing raw materials.
-
B.
hasNearbyProductionArea
Indicates that one entity has a production area located in close physical proximity to it.
-
C.
hasNearbyOilField
Indicates that an entity is located close to or in the vicinity of an oil field.
-
D.
isMajorRefineryIn
Indicates that a refinery is a primary or significant refining facility located within a specified geographic area or jurisdiction.
-
E.
hasNearbyColony
Indicates that one entity has another entity located close enough to be considered a nearby colony.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: May 1, 2026, 2:02 a.m.