Triple
T26141160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magar people |
E659519
|
entity |
| Predicate | populationRankInNepal |
P1169
|
FINISHED |
| Object | one of the largest ethnic groups 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: one of the largest ethnic groups in Nepal | Statement: [Magar people, populationRankInNepal, one of the largest ethnic groups in Nepal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInNepal Context triple: [Magar people, populationRankInNepal, one of the largest ethnic groups in Nepal]
-
A.
populationRankInVietnam
Indicates the relative position of an entity in terms of population size compared to other entities within Vietnam.
-
B.
distanceFromKathmandu
Indicates the measured spatial distance between a given location or entity and the city of Kathmandu.
-
C.
entryPointFromNepal
Indicates that something serves as an entry point or access route originating from Nepal.
-
D.
populationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
E.
populationRankAfter
Indicates the relative position of an entity in a population-based ordering that comes after another entity’s population rank.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 26, 2026, 8:20 p.m.