Triple
T32293875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco University High School |
E825035
|
entity |
| Predicate | collegeCounseling |
P31996
|
FINISHED |
| Object | dedicated college counseling program |
—
|
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: dedicated college counseling program | Statement: [San Francisco University High School, collegeCounseling, dedicated college counseling program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeCounseling Context triple: [San Francisco University High School, collegeCounseling, dedicated college counseling program]
-
A.
collegeCoach
Indicates that one entity serves as a coach for a college-level sports team associated with another entity.
-
B.
collegePreparation
Indicates the extent to which one entity equips or readies another for success in college-level academic and social demands.
-
C.
connectsToCollege
Indicates a relationship where an entity has a direct link, affiliation, or pathway to a college.
-
D.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
E.
hasCollegeCounseling
chosen
Indicates that one entity provides college counseling services or support to another entity.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 12:44 a.m.