Triple
T19496421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic College |
E487780
|
entity |
| Predicate | hasCoCurricularProgramme |
P49794
|
FINISHED |
| Object | service activities |
—
|
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: service activities | Statement: [Atlantic College, hasCoCurricularProgramme, service activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoCurricularProgramme Context triple: [Atlantic College, hasCoCurricularProgramme, service activities]
-
A.
hasExtracurricularProgram
chosen
Indicates that an institution or organization offers one or more organized extracurricular programs or activities beyond its primary curriculum or mission.
-
B.
hasCadetProgram
Indicates that an organization or entity offers or operates a cadet program for training or development.
-
C.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
D.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
E.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349182ec81908dd301f802530eec |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.