Triple
T7661889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Nepal |
E173524
|
entity |
| Predicate | hasMultiPartySystem |
P78032
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Government of Nepal, hasMultiPartySystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultiPartySystem Context triple: [Government of Nepal, hasMultiPartySystem, true]
-
A.
hasMultiPartySystemSince
Indicates that an entity has operated under a multi-party political system starting from a specified point in time.
-
B.
multiPartySystem
chosen
Indicates a relationship in which more than two distinct parties or entities are jointly involved in a shared process, interaction, or system.
-
C.
hasMajorParties
Indicates that an entity is associated with its primary participating parties or main involved groups.
-
D.
hasNumberOfParties
Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
-
E.
dominantPartySystem
Indicates a political system in which one party consistently dominates governance over time, despite the presence of other legally allowed parties.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.