Triple
T24955474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadena Medical Clinic |
E624458
|
entity |
| Predicate | hasAppointmentSystem |
P116338
|
FINISHED |
| Object | scheduled appointments |
—
|
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: scheduled appointments | Statement: [Kadena Medical Clinic, hasAppointmentSystem, scheduled appointments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAppointmentSystem Context triple: [Kadena Medical Clinic, hasAppointmentSystem, scheduled appointments]
-
A.
hasAppointmentProcess
chosen
Indicates that there is a defined procedure or workflow for scheduling, managing, or conducting an appointment between parties.
-
B.
hasAppointmentNature
Indicates that an appointment is characterized by a specific nature or type (e.g., purpose, category, or kind of appointment).
-
C.
canHoldAppointment
Indicates that an entity is eligible or permitted to occupy or serve in a particular appointment, position, or role.
-
D.
canConfirmAppointments
Indicates that an entity has the ability or permission to confirm scheduled appointments.
-
E.
hasAppointmentsBody
Indicates that an entity (such as a document or message) contains the main body content detailing one or more appointments.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4240331848190a8419adaed32360e |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:57 a.m.