Triple
T1445250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oil Pollution Act of 1990 |
E31161
|
entity |
| Predicate | imposesLiabilityOn |
P4329
|
FINISHED |
| Object | responsible parties for oil spills |
—
|
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: responsible parties for oil spills | Statement: [Oil Pollution Act of 1990, imposesLiabilityOn, responsible parties for oil spills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imposesLiabilityOn Context triple: [Oil Pollution Act of 1990, imposesLiabilityOn, responsible parties for oil spills]
-
A.
establishesLiabilityFor
chosen
Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
-
B.
imposes
Indicates that one entity enforces, applies, or places a rule, condition, burden, or obligation upon another entity.
-
C.
responsibleFor
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
D.
imposedOn
Indicates that one party enforces, applies, or places a requirement, burden, or constraint onto another party or entity.
-
E.
blamedOn
Indicates that responsibility or fault for something is assigned to a particular entity.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.