Triple
T11963559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Most Illustrious Order of Saint Patrick |
E284732
|
entity |
| Predicate | noNewAppointmentsAfter |
P41235
|
FINISHED |
| Object | Irish Free State establishment |
—
|
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: Irish Free State establishment | Statement: [Most Illustrious Order of Saint Patrick, noNewAppointmentsAfter, Irish Free State establishment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noNewAppointmentsAfter Context triple: [Most Illustrious Order of Saint Patrick, noNewAppointmentsAfter, Irish Free State establishment]
-
A.
noNewAppointmentsSince
chosen
Indicates that no additional appointments have been scheduled after a specified point in time.
-
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.
lastAppointments
Indicates that the referenced appointments are the most recent ones associated with a given entity or context.
-
E.
firstAppointmentsNumber
Indicates the number of first-time appointments scheduled or recorded for an entity within a given context.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.