Triple
T3477570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Nepal |
E73410
|
entity |
| Predicate | ceremonialPowers |
P48983
|
FINISHED |
| Object | promulgation of laws |
—
|
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: promulgation of laws | Statement: [President of Nepal, ceremonialPowers, promulgation of laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonialPowers Context triple: [President of Nepal, ceremonialPowers, promulgation of laws]
-
A.
ceremonialUse
Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
-
B.
ceremonialRole
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
C.
ceremonialAssociation
Indicates a relationship where entities are linked through participation in, role within, or connection to a formal ceremony or ritual event.
-
D.
ceremonialOrigin
Indicates that something originates from, or is derived through, a formal ceremony or ritual practice.
-
E.
ceremonialCycle
Indicates a recurring sequence of rituals or formal events that are performed in a set order over a defined 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5b7584819096eadd1c5268eab1 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.