Triple
T33324682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAA Diamond Ratings |
E853231
|
entity |
| Predicate | ratingBasis |
P7476
|
FINISHED |
| Object | published guidelines and standards |
—
|
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: published guidelines and standards | Statement: [AAA Diamond Ratings, ratingBasis, published guidelines and standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ratingBasis Context triple: [AAA Diamond Ratings, ratingBasis, published guidelines and standards]
-
A.
ratingCategory
Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
-
B.
ratingOfWork
Indicates the evaluative score or assessment assigned to a particular work or creation.
-
C.
ratingContext
Indicates the situational or contextual factors under which a rating is given or applies.
-
D.
rankingBasis
chosen
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
-
E.
rating
Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:33 a.m.