Triple
T28060722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salesianum School |
E709099
|
entity |
| Predicate | isSecondaryEducationInstitution |
P163439
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Salesianum School, isSecondaryEducationInstitution, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondaryEducationInstitution Context triple: [Salesianum School, isSecondaryEducationInstitution, true]
-
A.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
B.
isSchoolFor
Indicates that one entity functions as an educational institution intended to serve, teach, or train the other entity.
-
C.
containsEducationalInstitution
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
-
D.
isInEducationalInstitution
Indicates that one entity is located within, enrolled in, or otherwise present at an educational institution in relation to another.
-
E.
isInEducationalSystemOf
Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6401689808190874b7d29a32d534f |
completed | May 2, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f637120c008190b2b5adf46f022e48 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f637cad530819086cad3a5ec156013 |
completed | May 2, 2026, 5:43 p.m. |
Created at: April 27, 2026, 8:39 p.m.