Triple
T38118668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Virginia public school system |
E951870
|
entity |
| Predicate | typicalSchoolTypes |
P97864
|
FINISHED |
| Object | elementary schools |
—
|
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: elementary schools | Statement: [West Virginia public school system, typicalSchoolTypes, elementary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSchoolTypes Context triple: [West Virginia public school system, typicalSchoolTypes, elementary schools]
-
A.
parentSchoolType
Indicates the type or category of school to which a given school belongs as its parent institution.
-
B.
schoolTypeOffered
chosen
Indicates the specific type or category of school that is provided or made available by an educational institution or organization.
-
C.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
D.
typeOfSchoolOperated
Indicates the specific category or kind of school that an entity is responsible for operating.
-
E.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.