Triple
T22450558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana Derby |
E554976
|
entity |
| Predicate | previousGradedStatus |
P123845
|
FINISHED |
| Object | Grade I (historical for some years) |
—
|
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: Grade I (historical for some years) | Statement: [Louisiana Derby, previousGradedStatus, Grade I (historical for some years)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousGradedStatus Context triple: [Louisiana Derby, previousGradedStatus, Grade I (historical for some years)]
-
A.
gradeStatus
Indicates the current evaluation state or standing of an entity’s grade, such as whether it is pending, provisional, finalized, or otherwise classified in terms of completion or validity.
-
B.
hasGradeStatus
Indicates that an entity holds a particular grade-related status or standing within an evaluation or grading system.
-
C.
isGraded
Indicates that an entity has been evaluated and assigned a grade or score, typically by an assessor or grading process.
-
D.
hasGradeHistory
chosen
Indicates that an entity has an associated record or log of its past grades or evaluations over time.
-
E.
servedGrades
Indicates that one entity provided or delivered academic grades or evaluations 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.