Triple
T33315891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crespi Carmelite High School |
E853013
|
entity |
| Predicate | focusesOnCollegePreparation |
P107673
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Crespi Carmelite High School, focusesOnCollegePreparation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnCollegePreparation Context triple: [Crespi Carmelite High School, focusesOnCollegePreparation, yes]
-
A.
collegePreparation
Indicates the extent to which one entity equips or readies another for success in college-level academic and social demands.
-
B.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
C.
studentPreparation
Indicates the extent and manner in which a student is made ready or equipped for a particular task, course, or learning activity.
-
D.
hasCollegePreparatoryCurriculum
chosen
Indicates that an educational institution offers a curriculum specifically designed to prepare students for college-level study.
-
E.
educationPriority
Indicates that one entity assigns a higher level of importance, preference, or precedence to education-related matters compared to other concerns or options.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 1:33 a.m.