Triple
T18152794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DePaul University College of Law |
E434548
|
entity |
| Predicate | operatesClinic |
P4904
|
FINISHED |
| Object | civil rights clinic |
—
|
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: civil rights clinic | Statement: [DePaul University College of Law, operatesClinic, civil rights clinic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesClinic Context triple: [DePaul University College of Law, operatesClinic, civil rights clinic]
-
A.
operatesSecretClinic
Indicates that an entity runs or manages a medical clinic that is kept hidden or not officially authorized or disclosed.
-
B.
hasFictionalClinic
Indicates that an entity is associated with or contains a clinic that exists only in a fictional or imaginary context.
-
C.
operatesFacility
chosen
Indicates that an entity is responsible for running, managing, or controlling the operations of a particular facility.
-
D.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
E.
hasNumberOfClinics
Indicates the quantity of clinics associated with or belonging to a given entity.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de39a8f481908d1752767d0aae0e |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.