Triple
T12014995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of Scotland |
E286001
|
entity |
| Predicate | reasonForAppointment |
P102792
|
FINISHED |
| Object | monarch’s minority |
—
|
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: monarch’s minority | Statement: [Regent of Scotland, reasonForAppointment, monarch’s minority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForAppointment Context triple: [Regent of Scotland, reasonForAppointment, monarch’s minority]
-
A.
appointmentType
Indicates the specific category or nature of an appointment associated with an entity or event.
-
B.
requiresForHeadAppointment
Indicates that a certain condition, qualification, or prior role must be fulfilled in order for an entity to be appointed as the head of something.
-
C.
reasonForStay
Indicates the underlying cause, purpose, or circumstance that explains why an entity remains or is staying in a particular place or situation.
-
D.
reasonForTime
Indicates that one entity provides the explanation or cause for a particular point or duration of time associated with another entity.
-
E.
reasonForWork
Indicates that one entity specifies the motivation, cause, or purpose behind another entity’s work or activity.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.