Triple
T15426511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legislature Parliament of Nepal |
E369523
|
entity |
| Predicate | countryTransitionContext |
P118739
|
FINISHED |
| Object | abolition of monarchy in Nepal |
—
|
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: abolition of monarchy in Nepal | Statement: [Legislature Parliament of Nepal, countryTransitionContext, abolition of monarchy in Nepal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryTransitionContext Context triple: [Legislature Parliament of Nepal, countryTransitionContext, abolition of monarchy in Nepal]
-
A.
geographicChangeCause
Indicates that a geographic change (such as a boundary shift, renaming, split, or merge) occurred as a result of a specified cause or event.
-
B.
previousCountry
Indicates that one country was the immediately preceding country associated with, visited by, or occupied by a given entity before its current country.
-
C.
countryDuringPeak
Indicates the country in which an entity was located or primarily associated during its peak period of activity, influence, or performance.
-
D.
transition
Indicates a change of state or condition from one form, phase, or situation to another.
-
E.
urbanStatusChange
Indicates a change in an entity’s classification or condition related to its urban status, such as becoming urbanized, de-urbanized, or shifting between different urban categories.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec1fb288190a3625b8e4f487dd1 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:20 a.m.