Triple
T3258379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafue River |
E68350
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object | Mazabuka |
E266996
|
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: Mazabuka | Statement: [Kafue River, majorCityOnRiver, Mazabuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazabuka Context triple: [Kafue River, majorCityOnRiver, Mazabuka]
-
A.
Mazabuka
chosen
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
B.
Maroelap
Maroelap is the former name of Maloelap Atoll, a coral atoll in the Ratak Chain of the Marshall Islands in the central Pacific Ocean.
-
C.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
D.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
E.
Mwotlap
Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf6a46448190a7fa0ca83fa096f8 |
completed | March 8, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ed3a7908190bfab434a64af5f2f |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:09 p.m.