Triple
T32779136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Health Management and Policy |
E838301
|
entity |
| Predicate | typicalSchoolType |
P205158
|
FINISHED |
| Object | school of public health |
—
|
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: school of public health | Statement: [Department of Health Management and Policy, typicalSchoolType, school of public health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSchoolType Context triple: [Department of Health Management and Policy, typicalSchoolType, school of public health]
-
A.
parentSchoolType
Indicates the type or category of school to which a given school belongs as its parent institution.
-
B.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
C.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
-
D.
typeOfSchoolOperated
Indicates the specific category or kind of school that an entity is responsible for operating.
-
E.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:13 a.m.