Triple
T16088490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Service Commission (Saint Vincent and the Grenadines) |
E390294
|
entity |
| Predicate | typeOfAppointmentMatters |
P12376
|
FINISHED |
| Object | recruitment |
—
|
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: recruitment | Statement: [Public Service Commission (Saint Vincent and the Grenadines), typeOfAppointmentMatters, recruitment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAppointmentMatters Context triple: [Public Service Commission (Saint Vincent and the Grenadines), typeOfAppointmentMatters, recruitment]
-
A.
typeOfAppointmentBody
Indicates the specific category or kind of appointment being referenced or scheduled.
-
B.
appointmentType
chosen
Indicates the specific category or nature of an appointment associated with an entity or event.
-
C.
typicalAppointment
Indicates that an appointment represents a standard, usual, or commonly occurring scheduling arrangement between entities.
-
D.
appointerType
Indicates the role or category of entity that has the authority to appoint another entity.
-
E.
appointmentsInvolve
Indicates that scheduled appointments include or engage specific participants, resources, or activities in the appointment event.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.