Triple
T2609389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Saint Patrick |
E58737
|
entity |
| Predicate | noNewAppointmentsSince |
P41235
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Order of Saint Patrick, noNewAppointmentsSince, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noNewAppointmentsSince Context triple: [Order of Saint Patrick, noNewAppointmentsSince, 1936]
-
A.
lastAppointments
Indicates that the referenced appointments are the most recent ones associated with a given entity or context.
-
B.
canConfirmAppointments
Indicates that an entity has the ability or permission to confirm scheduled appointments.
-
C.
canHoldAppointment
Indicates that an entity is eligible or permitted to occupy or serve in a particular appointment, position, or role.
-
D.
appointmentBy
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
-
E.
isPersonalAppointment
Indicates that an appointment is scheduled for an individual’s personal matters rather than for professional, public, or organizational purposes.
- F. None of above. chosen
Provenance (4 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:49 p.m.