Triple
T33025331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary M. Knight School |
E845026
|
entity |
| Predicate | hasSecondaryEducationGrades |
P130395
|
FINISHED |
| Object | 9–12 |
—
|
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: 9–12 | Statement: [Mary M. Knight School, hasSecondaryEducationGrades, 9–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryEducationGrades Context triple: [Mary M. Knight School, hasSecondaryEducationGrades, 9–12]
-
A.
hasSecondarySchoolLevel
chosen
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
B.
hasSecondaryEducationAccessIn
Indicates that an entity has access to secondary-level education within a specified location or jurisdiction.
-
C.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
D.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
-
E.
secondOrderGrades
Indicates that one entity assigns or receives second-order (meta-level) evaluations or grades concerning another entity’s performance or assessments.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 1, 2026, 1:23 a.m.