Triple
T2637847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volunteer Army |
E62790
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Don region |
E229102
|
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: Don region | Statement: [Volunteer Army, region, Don region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don region Context triple: [Volunteer Army, region, Don region]
-
A.
Don region
chosen
The Don region is a historical area in southern Russia centered around the Don River, traditionally associated with the homeland of the Don Cossacks.
-
B.
Choiseul region
The Choiseul region is an area of the Solomon Islands centered on Choiseul Island, known for its indigenous communities and use of Northwest Solomonic languages.
-
C.
Dombes
Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
-
D.
Oriente region
The Oriente region is a historical area in eastern Cuba known for its mountainous terrain, rich Afro-Cuban culture, and key role in the Cuban Revolution.
-
E.
Dakar Region
Dakar Region is the smallest yet most densely populated administrative region of Senegal, encompassing the nation’s capital and serving as its primary political, economic, and cultural hub.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa04f0d448190adf113831fb5bc42 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.