Triple
T33442430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulidia Integrated College |
E856398
|
entity |
| Predicate | acceptsPupilsFrom |
P88189
|
FINISHED |
| Object | Carrickfergus area |
—
|
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: Carrickfergus area | Statement: [Ulidia Integrated College, acceptsPupilsFrom, Carrickfergus area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsPupilsFrom Context triple: [Ulidia Integrated College, acceptsPupilsFrom, Carrickfergus area]
-
A.
acceptsPupilsFromAge
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
B.
admitsStudentsFrom
chosen
Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
-
C.
acceptsStudents
Indicates that an institution or program allows and takes in students as participants or members.
-
D.
hadPupilsFrom
Indicates that an entity served as a teacher or mentor to the specified pupils.
-
E.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:37 a.m.