Triple
T36390857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier Handicap |
E896322
|
entity |
| Predicate | gradingLevel |
P39889
|
FINISHED |
| Object | high-level |
—
|
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: high-level | Statement: [Premier Handicap, gradingLevel, high-level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradingLevel Context triple: [Premier Handicap, gradingLevel, high-level]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
grading
Indicates that one entity is evaluating, scoring, or assigning a quality level to another entity based on specific criteria.
-
C.
assessmentLevel
chosen
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
-
D.
difficultyGradeSystem
Indicates a system that defines or categorizes the level of difficulty associated with tasks, problems, or items.
-
E.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.