Triple
T12952758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brother Rice High School |
E309931
|
entity |
| Predicate | hasCollegePreparatoryCurriculum |
P107673
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Brother Rice High School, hasCollegePreparatoryCurriculum, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegePreparatoryCurriculum Context triple: [Brother Rice High School, hasCollegePreparatoryCurriculum, true]
-
A.
hadPreparatorySchool
Indicates that an entity attended or was enrolled in a preparatory school as part of its educational background.
-
B.
collegePreparation
Indicates the extent to which one entity equips or readies another for success in college-level academic and social demands.
-
C.
hasCollegeCounseling
Indicates that one entity provides college counseling services or support to another entity.
-
D.
hasPreparatoryDepartment
Indicates that one entity (typically an educational institution) includes or is associated with a preparatory department that provides preliminary or foundational instruction.
-
E.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
- F. None of above. chosen
Provenance (4 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 5:43 p.m.