Triple
T7111296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Coast Guard National Pollution Funds Center |
E165711
|
entity |
| Predicate | claimTypes |
P74609
|
FINISHED |
| Object | removal costs |
—
|
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: removal costs | Statement: [U.S. Coast Guard National Pollution Funds Center, claimTypes, removal costs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimTypes Context triple: [U.S. Coast Guard National Pollution Funds Center, claimTypes, removal costs]
-
A.
attributeClaim
Indicates that one entity asserts or specifies a particular attribute or property about another entity.
-
B.
claimsToBe
Indicates that one entity asserts or declares itself to have a particular identity, role, or property, regardless of whether this assertion is true.
-
C.
scopeClaim
Indicates that a claim or statement applies within a specified scope, context, or boundary.
-
D.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
-
E.
claimsEffect
Indicates that one entity asserts or states that another entity has a particular effect or impact.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:43 p.m.