Triple
T7573784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province No. 1, Nepal |
E179309
|
entity |
| Predicate | hasMajorEthnicGroup |
P1898
|
FINISHED |
| Object | Magar |
E237481
|
NE 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: Magar | Statement: [Province No. 1, Nepal, hasMajorEthnicGroup, Magar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magar Context triple: [Province No. 1, Nepal, hasMajorEthnicGroup, Magar]
-
A.
Magar
chosen
Magar are an indigenous ethnic group of Nepal known for their distinct language, culture, and significant presence in the country’s military history.
-
B.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
-
C.
Mukerian
Mukerian is a town and municipal council in the Indian state of Punjab, known for its strategic location near the Beas River and the Mukerian Hydel Project.
-
D.
Gurk
Gurk is a river in southern Austria that flows through Carinthia before joining the Drava.
-
E.
Mawteni
Mawteni is an alternative Romanized spelling of "Mawtini," the famous Arabic patriotic poem and anthem widely associated with Palestinian and Iraqi national identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856ea9a2c8190a81762ac509c4c97 |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.