Triple
T17361923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfie the Wolf |
E422086
|
entity |
| Predicate | schoolTypeOfRepresentedInstitution |
P104067
|
FINISHED |
| Object | public exam 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: public exam school | Statement: [Wolfie the Wolf, schoolTypeOfRepresentedInstitution, public exam school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolTypeOfRepresentedInstitution Context triple: [Wolfie the Wolf, schoolTypeOfRepresentedInstitution, public exam school]
-
A.
representsEducationalInstitutionType
chosen
Indicates that an entity is associated with or classified by a specific type or category of educational institution.
-
B.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
representsEducationalInstitution
Indicates that one entity serves as an educational institution for, or in relation to, another entity.
-
D.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
-
E.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4d6de88190b816b93ff5778157 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.