Triple
T18884730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dosco |
E461929
|
entity |
| Predicate | schoolTypeContext |
P72238
|
FINISHED |
| Object | boarding school |
—
|
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: boarding school | Statement: [Dosco, schoolTypeContext, boarding school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolTypeContext Context triple: [Dosco, schoolTypeContext, boarding school]
-
A.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
B.
schoolClassification
chosen
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
-
C.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
D.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
-
E.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d53e608190b8740c092b6e1523 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:57 a.m.