Triple
T8930540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. S. Senanayake College, Colombo |
E212641
|
entity |
| Predicate | hasCoCurricular |
P49794
|
FINISHED |
| Object | sports |
—
|
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: sports | Statement: [D. S. Senanayake College, Colombo, hasCoCurricular, sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoCurricular Context triple: [D. S. Senanayake College, Colombo, hasCoCurricular, sports]
-
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.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
C.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
D.
hasStudentInvolvement
Indicates that there is participation, engagement, or involvement of one or more students in the referenced activity, event, or entity.
-
E.
alsoAttendedSchool
Indicates that two or more entities attended the same school in addition to any other schools they may have attended.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6676d5d881908ce78cbb5561a68b |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:57 p.m.