Triple
T29379082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Kampala Secondary School |
E745086
|
entity |
| Predicate | hasApproximateStudentBodyCharacteristic |
P30984
|
FINISHED |
| Object | large enrollment |
—
|
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: large enrollment | Statement: [Old Kampala Secondary School, hasApproximateStudentBodyCharacteristic, large enrollment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateStudentBodyCharacteristic Context triple: [Old Kampala Secondary School, hasApproximateStudentBodyCharacteristic, large enrollment]
-
A.
hasStudentBodyType
Indicates that an educational institution possesses a student body characterized by a particular type or classification.
-
B.
hasStudentBodyAt
Indicates that an educational institution has its student body located at or associated with a particular site or campus.
-
C.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
-
D.
hasApproximateStudents
chosen
Indicates that an entity is associated with an estimated or approximate number of students, rather than an exact count.
-
E.
hasStudentCharacter
Indicates that an entity possesses or is associated with a character or role in the capacity of a student.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 2:33 p.m.