Triple
T36427134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KUSOM |
E897330
|
entity |
| Predicate | typeOfCampusDistribution |
P24734
|
FINISHED |
| Object | multi-campus |
—
|
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: multi-campus | Statement: [KUSOM, typeOfCampusDistribution, multi-campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCampusDistribution Context triple: [KUSOM, typeOfCampusDistribution, multi-campus]
-
A.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
B.
campusDistribution
chosen
Indicates how resources, activities, or populations are allocated or spread across different campuses within an institution.
-
C.
campusAreaType
Indicates the classification of a campus area according to its type or functional category.
-
D.
campusOfUniversityType
Indicates that a campus belongs to, is part of, or is categorized under a particular type of university.
-
E.
isCentralizedCampus
Indicates that a campus is organized with its main facilities and activities concentrated in a single, central location rather than being dispersed across multiple sites.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0303622ce08190b359c9d247268729 |
completed | May 12, 2026, 10:39 a.m. |
| PD | Predicate disambiguation | batch_6a03030c02fc81908e546dba291b1240 |
completed | May 12, 2026, 10:38 a.m. |
Created at: May 3, 2026, 4:10 p.m.