Triple
T4050099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Campus |
E84162
|
entity |
| Predicate | typeOfHospitalCampus |
P110
|
FINISHED |
| Object | academic medical center 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: academic medical center campus | Statement: [East Campus, typeOfHospitalCampus, academic medical center campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHospitalCampus Context triple: [East Campus, typeOfHospitalCampus, academic medical center campus]
-
A.
campusType
chosen
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
B.
isTeachingHospitalFor
Indicates that one institution serves as a clinical training site or educational facility for another, typically a medical school or health education program.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
campusAreaType
Indicates the classification of a campus area according to its type or functional category.
-
E.
campusDesignation
Indicates the formal classification or status assigned to a particular campus within an institution or system.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8413848190992e4b5f3b29b43c |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.