Triple
T26253046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballyfin House |
E656646
|
entity |
| Predicate | convertedToSchool |
P162323
|
FINISHED |
| Object | Ballyfin College |
—
|
NE NERFINISHED |
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: Ballyfin College | Statement: [Ballyfin House, convertedToSchool, Ballyfin College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToSchool Context triple: [Ballyfin House, convertedToSchool, Ballyfin College]
-
A.
convertedToSchoolIn
Indicates that something has been transformed or repurposed into a school within a specified location or context.
-
B.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
C.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
D.
convertedToAcademy
Indicates that an entity has been transformed or restructured into an academy as its new institutional form.
-
E.
awaySchool
Indicates that an entity is located away from or not present at their usual school.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6250321088190ae3ed1dc9f2fcd03 |
completed | May 2, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f62473a38481909b919f88ffb5b492 |
completed | May 2, 2026, 4:21 p.m. |
Created at: April 26, 2026, 9:07 p.m.