Triple
T25652540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belfast Royal Academy |
E643140
|
entity |
| Predicate | hasJuniorSchool |
P79082
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Belfast Royal Academy, hasJuniorSchool, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJuniorSchool Context triple: [Belfast Royal Academy, hasJuniorSchool, yes]
-
A.
hasLowerSchoolEntry
Indicates that an entity is associated with or linked to a specific lower-level school at which it begins or began schooling.
-
B.
hasJuniorSection
chosen
Indicates that an entity includes or is associated with a subordinate or lower-level section within its structure or organization.
-
C.
hasPrimarySchoolLevel
Indicates that an entity possesses or is associated with a primary (elementary) level of schooling or education.
-
D.
hasPrimaryAndSecondarySchool
Indicates that an entity provides or includes both primary-level and secondary-level schooling within its educational offerings.
-
E.
hasGymnasium
Indicates that one entity possesses, includes, or is equipped with a gymnasium as a facility or feature.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faa9a8f881908223f599950cc005 |
completed | May 2, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 6:27 p.m.