Triple
T24144051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial Hospital of Rhode Island |
E598323
|
entity |
| Predicate | teachingProgramsIn |
P2489
|
FINISHED |
| Object | internal medicine residency |
—
|
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: internal medicine residency | Statement: [Memorial Hospital of Rhode Island, teachingProgramsIn, internal medicine residency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingProgramsIn Context triple: [Memorial Hospital of Rhode Island, teachingProgramsIn, internal medicine residency]
-
A.
hasEducationalProgram
chosen
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
B.
academicProgramsMedium
Indicates the medium or format through which academic programs are delivered (e.g., online, in-person, hybrid).
-
C.
roleInPrograms
Indicates that an entity holds a specific role or function within one or more programs.
-
D.
offersProfessionalPrograms
Indicates that an entity provides formal, career-oriented educational or training programs to others.
-
E.
certificationProgramOf
Indicates that one entity is a certification program that is offered, managed, or owned by another 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e008efbc8190ac6c12d3ba5dd5d8 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:29 p.m.