Triple
T21508007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reports on the relation of accounting standards to corporate regulation |
E530644
|
entity |
| Predicate | analyzesRelationBetween |
P144664
|
FINISHED |
| Object | accounting rules |
—
|
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: accounting rules | Statement: [Reports on the relation of accounting standards to corporate regulation, analyzesRelationBetween, accounting rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzesRelationBetween Context triple: [Reports on the relation of accounting standards to corporate regulation, analyzesRelationBetween, accounting rules]
-
A.
plotRelation
Indicates a narrative connection between two story elements, such as events, characters, or subplots, showing how one influences or relates to the other within the overall plot.
-
B.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
C.
symbolicRelation
Indicates a relationship where one entity stands for, represents, or conveys meaning about another through symbols or abstract signs.
-
D.
testsRelation
Indicates a relationship where one entity evaluates, examines, or verifies another entity, typically to assess its properties, behavior, or correctness.
-
E.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea7e957c8190865704baef7a4ed9 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:24 p.m.