Triple
T14327862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South-East District, Botswana |
E355258
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Otse |
E906159
|
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: Otse | Statement: [South-East District, Botswana, contains, Otse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otse Context triple: [South-East District, Botswana, contains, Otse]
-
A.
Otse
chosen
Otse is a village located in Botswana’s South-East District, known for its traditional culture and proximity to the capital, Gaborone.
-
B.
Ose
Ose is a small village in Bygland municipality in Agder county, southern Norway, known for its scenic location in the Setesdal valley.
-
C.
Otar
Otar is a Georgian given name most notably borne by acclaimed film director Otar Iosseliani.
-
D.
Oton
Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
-
E.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1c3e70819084b6728ac5c18561 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46927af48190b91095d852fcacbe |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.