Triple
T19385045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBB |
E484911
|
entity |
| Predicate | denotesCreditRisk |
P15871
|
FINISHED |
| Object | moderate credit risk |
—
|
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: moderate credit risk | Statement: [BBB, denotesCreditRisk, moderate credit risk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesCreditRisk Context triple: [BBB, denotesCreditRisk, moderate credit risk]
-
A.
creditFunction
Indicates a financial role or operation through which an entity extends, manages, or utilizes credit within an economic or transactional context.
-
B.
riskModel
Indicates a relationship where an entity serves as or is associated with a model used to assess, quantify, or manage risk for another entity or situation.
-
C.
hasCreditRating
Indicates that an entity is assigned a formal assessment of its creditworthiness, typically expressed as a credit score or rating.
-
D.
creditQualityInfluencedBy
Indicates that the credit quality of one entity is affected or determined by another factor or entity.
-
E.
riskType
chosen
Indicates the category or nature of risk associated with an entity, event, or relationship.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b3ffa548190a060d6e94562a5d2 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.