Triple
T32510487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MinuteClinic |
E830916
|
entity |
| Predicate | appointmentPolicy |
P48970
|
FINISHED |
| Object | no-appointment-needed |
—
|
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: no-appointment-needed | Statement: [MinuteClinic, appointmentPolicy, no-appointment-needed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentPolicy Context triple: [MinuteClinic, appointmentPolicy, no-appointment-needed]
-
A.
appointmentProcessIncludes
Indicates that an appointment process contains or encompasses a specific step, activity, or component as part of its overall workflow.
-
B.
appointmentTerm
Indicates the duration or specific period for which an appointment, position, or role is held.
-
C.
boardingPolicy
Indicates the rules or procedures governing how and in what order passengers are allowed to board a vehicle or vessel.
-
D.
appointmentCondition
chosen
Indicates the specific terms, requirements, or circumstances that must be met or that apply for an appointment to be scheduled, valid, or carried out.
-
E.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 1, 2026, 1 a.m.