Triple
T34193490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Tuberculosis and Respiratory Diseases |
E877175
|
entity |
| Predicate | hasClinicalActivity |
P77388
|
FINISHED |
| Object | diagnosis of tuberculosis |
—
|
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: diagnosis of tuberculosis | Statement: [Department of Tuberculosis and Respiratory Diseases, hasClinicalActivity, diagnosis of tuberculosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClinicalActivity Context triple: [Department of Tuberculosis and Respiratory Diseases, hasClinicalActivity, diagnosis of tuberculosis]
-
A.
hasClinicalService
chosen
Indicates that an entity provides, offers, or is associated with a specific clinical service.
-
B.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
C.
hasClinicalAssessment
Indicates that a subject is associated with, or has undergone, a specific clinical assessment or evaluation.
-
D.
has activity
Indicates that one entity performs, exhibits, or is engaged in a particular action, behavior, or process associated with another entity.
-
E.
hasActivityStatus
Indicates the current state or condition of an activity, such as whether it is planned, ongoing, completed, or cancelled.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 1, 2026, 1:55 a.m.