Triple
T34503941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivaha Panchami |
E885830
|
entity |
| Predicate | countryOfProminentObservance |
P130611
|
FINISHED |
| Object | Nepal |
—
|
NE NERFINISHED |
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: Nepal | Statement: [Vivaha Panchami, countryOfProminentObservance, Nepal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfProminentObservance Context triple: [Vivaha Panchami, countryOfProminentObservance, Nepal]
-
A.
countryObservedIn
Indicates that an entity has been observed or recorded within the geographical boundaries of a specified country.
-
B.
mainlyCelebratedBy
Indicates that an event, tradition, or occasion is primarily observed or celebrated by a particular group or category of people.
-
C.
mainlyObservedIn
chosen
Indicates that something occurs, appears, or is found predominantly within a particular context, location, group, or condition.
-
D.
isMostFamouslyObservedIn
Indicates that something is best known or primarily recognized for being observed or occurring in a particular place, context, or setting.
-
E.
countryOfMainRitual
Indicates the country in which a given ritual is primarily performed or holds its main significance.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01531add1c8190b51add7bb046e2cb |
completed | May 11, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_6a014fef3d8c81909b509d51d0c4cdc7 |
completed | May 11, 2026, 3:41 a.m. |
Created at: May 1, 2026, 2:01 a.m.