Triple
T33025332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary M. Knight School |
E845026
|
entity |
| Predicate | hasPrimaryEducationGrades |
P130394
|
FINISHED |
| Object | K–5 |
—
|
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: K–5 | Statement: [Mary M. Knight School, hasPrimaryEducationGrades, K–5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEducationGrades Context triple: [Mary M. Knight School, hasPrimaryEducationGrades, K–5]
-
A.
hasPrimarySchoolLevel
chosen
Indicates that an entity possesses or is associated with a primary (elementary) level of schooling or education.
-
B.
hasPrimaryEducationFacilityType
Indicates the type or category of primary education facility associated with an entity.
-
C.
hasPrimaryAndSecondarySchool
Indicates that an entity provides or includes both primary-level and secondary-level schooling within its educational offerings.
-
D.
hasUpperElementarySchool
Indicates that a place or administrative area contains or is served by an upper elementary school.
-
E.
primaryEducationalLevel
Indicates the main or highest level of formal education that an entity has attained or is associated with.
- 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_6a0141fceb908190863778741bd4487d |
completed | May 11, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_6a0141a9628c819090c0b24ce052a2fb |
completed | May 11, 2026, 2:40 a.m. |
Created at: May 1, 2026, 1:23 a.m.