Triple
T12606385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayub Medical College |
E300988
|
entity |
| Predicate | primaryAdmissionTest |
P22453
|
FINISHED |
| Object | medical and dental college admission test |
—
|
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: medical and dental college admission test | Statement: [Ayub Medical College, primaryAdmissionTest, medical and dental college admission test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAdmissionTest Context triple: [Ayub Medical College, primaryAdmissionTest, medical and dental college admission test]
-
A.
entranceExam
chosen
Indicates that an entity is required to pass or participate in an entrance examination as a condition for admission or access to another entity.
-
B.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
C.
primaryIntake
Indicates that one entity serves as the main or first point of intake, reception, or admission for another entity.
-
D.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
E.
admissionsLevel
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:11 p.m.