Triple
T16259997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsumeb |
E394727
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | linked to Ondangwa |
E397823
|
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: linked to Ondangwa | Statement: [Tsumeb, roadConnection, linked to Ondangwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: linked to Ondangwa Context triple: [Tsumeb, roadConnection, linked to Ondangwa]
-
A.
Ondangwa
chosen
Ondangwa is a town in northern Namibia that serves as an important commercial and transport hub for the surrounding Oshana Region.
-
B.
Oshindonga
Oshindonga is a standardized Bantu language variety spoken primarily in northern Namibia and southern Angola, forming one of the main dialects of the Oshiwambo language cluster.
-
C.
Namwala
Namwala is a rural town in southern Zambia known as a center of Ila cattle-herding culture along the Kafue River floodplain.
-
D.
Chikaonde
Chikaonde is a Bantu language spoken primarily by the Kaonde people of Zambia and parts of the Democratic Republic of the Congo.
-
E.
Bolongongo
Bolongongo is a town and municipality located in Angola’s Cuanza Norte Province.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3082c8190a1c9f92b255fdbb6 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eee110c819088d99b80435ab70b |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.