Triple
T36450414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian referendum on monarchy |
E897992
|
entity |
| Predicate | governmentTypeConfirmed |
P203900
|
FINISHED |
| Object | constitutional monarchy |
—
|
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: constitutional monarchy | Statement: [Norwegian referendum on monarchy, governmentTypeConfirmed, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeConfirmed Context triple: [Norwegian referendum on monarchy, governmentTypeConfirmed, constitutional monarchy]
-
A.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
B.
governmentTypeStrengthened
Indicates that the form or structure of a government has been reinforced, consolidated, or made more powerful or stable relative to its previous state.
-
C.
governmentTypeSupported
Indicates that an entity endorses, backs, or is in favor of a particular form or system of government.
-
D.
governmentTypeAttempted
Indicates that an entity has tried or aimed to establish, implement, or transition to a particular form of government.
-
E.
countryGovernmentTypeContext
Indicates the form or system of government associated with a specific country within a given contextual framework or time period.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0248062e608190aae1afdae38d2e5a |
completed | May 11, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_6a02465a0d38819084c3a6813fb943fc |
completed | May 11, 2026, 9:12 p.m. |
| PDg | Predicate description generation | batch_6a02480580b481909838e544d0ebfd17 |
completed | May 11, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:10 p.m.