Triple
T16381865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohangwena Region |
E397824
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Oshikango |
E893228
|
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: Oshikango | Statement: [Ohangwena Region, hasSettlement, Oshikango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshikango Context triple: [Ohangwena Region, hasSettlement, Oshikango]
-
A.
Oshikango
chosen
Oshikango is a border town in northern Namibia that serves as a key commercial and transport hub between Namibia and Angola.
-
B.
Shiroro
Shiroro is a town in Niger State, Nigeria, known for hosting the major hydroelectric Shiroro Dam on the Kaduna River.
-
C.
Rutshuru
Rutshuru is a town in the eastern Democratic Republic of the Congo known for its strategic location near the borders with Rwanda and Uganda and its history of conflict and humanitarian challenges.
-
D.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
E.
Mitoyo
Mitoyo is a coastal city in western Kagawa Prefecture on Japan’s Shikoku Island, known for its scenic Seto Inland Sea views and rural landscapes.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f41703c81908fb040a9107045ae |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:08 a.m.