Triple
T15264626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minneapolis HRS wheat |
E364866
|
entity |
| Predicate | gradeStandard |
P68816
|
FINISHED |
| Object | hard red spring wheat |
—
|
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: hard red spring wheat | Statement: [Minneapolis HRS wheat, gradeStandard, hard red spring wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeStandard Context triple: [Minneapolis HRS wheat, gradeStandard, hard red spring wheat]
-
A.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
B.
gradeCategory
Indicates the classification of a grade into a broader category or level (such as letter grade, performance band, or pass/fail group).
-
C.
gradeName
chosen
Indicates the specific name or label assigned to a grade level associated with an entity.
-
D.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
E.
gradeNumber
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.