Triple
T15871733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sani Top |
E384844
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Mokhotlong, Lesotho |
E1181310
|
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: Mokhotlong, Lesotho | Statement: [Sani Top, hasRoadConnectionTo, Mokhotlong, Lesotho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mokhotlong, Lesotho Context triple: [Sani Top, hasRoadConnectionTo, Mokhotlong, Lesotho]
-
A.
Mokhotlong
chosen
Mokhotlong is a town in northeastern Lesotho known as a remote highland center and gateway to the mountainous regions of the country.
-
B.
Maseru
Maseru is the largest city and administrative, economic, and cultural center of the Kingdom of Lesotho in southern Africa.
-
C.
Roma, Lesotho
Roma, Lesotho is a small town in the Maseru District best known as the academic center of the country, hosting the main campus of the National University of Lesotho.
-
D.
Siphofaneni, Eswatini
Siphofaneni is a rural town in central Eswatini known as an agricultural and transport hub situated near the Great Usutu River.
-
E.
Lesotho
Lesotho is a small, landlocked constitutional monarchy in Southern Africa, entirely surrounded by South Africa and known for its mountainous terrain and high-altitude settlements.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fa1aac81908e4b86abedf295ca |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb041adac8190a8e6e5c646fdedf3 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:50 a.m.