Triple
T26339664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Kimmel Medical College |
E662608
|
entity |
| Predicate | isInOrganizationType |
P3504
|
FINISHED |
| Object | academic medical center |
—
|
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 | Statement: [Sidney Kimmel Medical College, isInOrganizationType, academic medical center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInOrganizationType Context triple: [Sidney Kimmel Medical College, isInOrganizationType, academic medical center]
-
A.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
-
B.
hasTypeOfOrganization
chosen
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
C.
usedByOrganizationType
Indicates that something is utilized or employed by organizations of a specified type.
-
D.
representsInOrganizationType
Indicates that an entity serves as a representative or acts on behalf of another entity within a specific type or category of organization.
-
E.
supportsTypeOfOrganization
Indicates that one entity provides backing, assistance, or endorsement specifically to a certain category or type of organization.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa1a2e48190894526679b07d59d |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:38 p.m.