Triple
T32028721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Torrey Canyon |
E817889
|
entity |
| Predicate | spillVolume |
P78368
|
FINISHED |
| Object | approximately 80000 to 100000 tons of oil |
—
|
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 80000 to 100000 tons of oil | Statement: [SS Torrey Canyon, spillVolume, approximately 80000 to 100000 tons of oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spillVolume Context triple: [SS Torrey Canyon, spillVolume, approximately 80000 to 100000 tons of oil]
-
A.
volumeSpilled
chosen
Indicates the quantity of a substance that has been unintentionally released or spilled from its container or source.
-
B.
spillType
Indicates the specific category or nature of a spill involved in the relationship or event.
-
C.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
D.
volumeLevels
Indicates the relative loudness or intensity settings assigned to one or more entities or audio outputs.
-
E.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b46b78508190836c507d61961981 |
completed | May 3, 2026, 2:35 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:17 a.m.