Triple
T7834343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solukhumbu District |
E181652
|
entity |
| Predicate | majorEthnicGroup |
P1898
|
FINISHED |
| Object | Tamang |
E237477
|
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: Tamang | Statement: [Solukhumbu District, majorEthnicGroup, Tamang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamang Context triple: [Solukhumbu District, majorEthnicGroup, Tamang]
-
A.
Tamang
chosen
Tamang is a Sino-Tibetan language spoken primarily by the Tamang people of Nepal and the Nepali diaspora, including Nepali Americans.
-
B.
Dasu
Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
-
C.
Ang Lhamu
Ang Lhamu was the wife of famed Sherpa mountaineer Tenzing Norgay, who helped make history with the first confirmed ascent of Mount Everest.
-
D.
Butwal
Butwal is a major commercial and transport hub city in southern Nepal, located at the foothills of the Siwalik range.
-
E.
Kamtok
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064b872081908e269f4fe1b85436 |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a9b7bb081909d6aa066ee064093 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:45 p.m.