Triple
T27231314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stayers’ Hurdle |
E682161
|
entity |
| Predicate | gradeStatusAwarded |
P123843
|
FINISHED |
| Object | Grade 1 status in 1972 |
—
|
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 1 status in 1972 | Statement: [Stayers’ Hurdle, gradeStatusAwarded, Grade 1 status in 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeStatusAwarded Context triple: [Stayers’ Hurdle, gradeStatusAwarded, Grade 1 status in 1972]
-
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
chosen
Indicates that an entity holds a particular grade-related status or standing within an evaluation or grading system.
-
C.
gradeCategory
Indicates the classification of a grade into a broader category or level (such as letter grade, performance band, or pass/fail group).
-
D.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
E.
gradeIn
Indicates that an entity has a particular grade or score within a specified course, assignment, or evaluation context.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6264ec31081908b14cbdbc604d437 |
completed | May 2, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 9:46 a.m.