Triple
T20798932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mnong people |
E511987
|
entity |
| Predicate | ethnicity |
P194
|
FINISHED |
| Object | Mnong |
—
|
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: Mnong | Statement: [Mnong people, ethnicity, Mnong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mnong Context triple: [Mnong people, ethnicity, Mnong]
-
A.
M'Nông
chosen
The M'Nông are an indigenous ethnic group of Vietnam known for their traditional swidden agriculture, rich oral epics, and gong-based musical culture.
-
B.
Mongpan
Mongpan is a historic Shan principality in what is now Myanmar, known as one of the traditional Shan States.
-
C.
Mosnang
Mosnang is a Swiss municipality in the canton of St. Gallen, known for its rural character and location in the Toggenburg region.
-
D.
Monanga
Monanga is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Ghana–Côte d’Ivoire region.
-
E.
Umrangso
Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2aef2e08190a779ed1d516ecba7 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.