Triple
T5027260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVO |
E113206
|
entity |
| Predicate | correspondsToGrade |
P44491
|
FINISHED |
| Object | Member |
—
|
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: Member | Statement: [MVO, correspondsToGrade, Member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToGrade Context triple: [MVO, correspondsToGrade, Member]
-
A.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
B.
relatedGrade
Indicates that one entity has an associated grade or evaluation level that is connected or relevant to another entity.
-
C.
isReferenceGradeFor
Indicates that one entity serves as the standard or benchmark quality level against which another entity is evaluated or compared.
-
D.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
E.
isAtGrade
chosen
Indicates that an entity is positioned at or corresponds to a specific grade or level within an ordered scale or classification.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738d852c8190a122354f1e1f5343 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.