Triple
T6237169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N2 national road |
E139504
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Mkuze |
E561002
|
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: Mkuze | Statement: [N2 national road, connectsTo, Mkuze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mkuze Context triple: [N2 national road, connectsTo, Mkuze]
-
A.
Mkuze
chosen
Mkuze is a small town in northern KwaZulu-Natal, South Africa, known as a gateway to nearby game reserves and wetlands.
-
B.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
-
C.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
D.
Mpulungu
Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
-
E.
Mtiuleti
Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063021258819093a9237041816638 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243ff29248190abbb748601039f60 |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:23 p.m.