Triple
T34577377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampton University Proton Therapy Institute |
E887796
|
entity |
| Predicate | hasTreatmentModality |
P122242
|
FINISHED |
| Object | image-guided proton therapy |
—
|
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: image-guided proton therapy | Statement: [Hampton University Proton Therapy Institute, hasTreatmentModality, image-guided proton therapy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTreatmentModality Context triple: [Hampton University Proton Therapy Institute, hasTreatmentModality, image-guided proton therapy]
-
A.
hasReceivedTreatmentFor
Indicates that an entity has undergone or been given a treatment in relation to a specified condition, issue, or problem.
-
B.
hasCommonTreatment
Indicates that two or more entities share at least one treatment method or therapeutic approach in common.
-
C.
treatmentType
chosen
Indicates the specific kind or category of treatment applied or prescribed in relation to an entity or condition.
-
D.
hasTreatmentAspect
Indicates that something includes, involves, or is characterized by a particular aspect or component of a treatment.
-
E.
hasTreatmentConsideration
Indicates that a particular factor, condition, or option should be taken into account when planning, selecting, or managing a treatment.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
Created at: May 1, 2026, 2:03 a.m.