Triple
T11155878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of Education (New Zealand) |
E263903
|
entity |
| Predicate | appointedTerm |
P98135
|
FINISHED |
| Object | Serves at the pleasure of the Governor-General |
—
|
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: Serves at the pleasure of the Governor-General | Statement: [Minister of Education (New Zealand), appointedTerm, Serves at the pleasure of the Governor-General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedTerm Context triple: [Minister of Education (New Zealand), appointedTerm, Serves at the pleasure of the Governor-General]
-
A.
appointedForFixedTerm
Indicates that an entity has been formally assigned to a role or position for a specified, limited duration.
-
B.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
C.
appointedAfter
Indicates that one entity was appointed to a position or role at a later time than another entity.
-
D.
setsTermOfOfficeFor
Indicates that one entity establishes or defines the duration and conditions of the term of office for another entity.
-
E.
appointedFrom
Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8741cd48190b7cc29c6b6bc54ff |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:28 p.m.