Triple
T17207970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usakos |
E417649
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Karibib |
E419948
|
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: Karibib | Statement: [Usakos, near, Karibib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karibib Context triple: [Usakos, near, Karibib]
-
A.
Karibib
chosen
Karibib is a small mining and transport town in central Namibia known for its marble quarries and strategic location between Windhoek and the coastal city of Swakopmund.
-
B.
Anseba River
The Anseba River is a major seasonal watercourse in Eritrea that flows from the central highlands toward the Red Sea basin, supporting agriculture and settlements along its valley.
-
C.
Ovambo
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
-
D.
Belan River
The Belan River is a river in northern India that flows through parts of Uttar Pradesh, including the Mirzapur district, and is known for its archaeological significance due to numerous prehistoric sites along its banks.
-
E.
Kunene River
The Kunene River is a major river in southwestern Africa that forms part of the border between Angola and Namibia and is known for features like the Epupa Falls.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc283648190b2c1f957940024aa |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674df2cc8190be602b15d49d38d0 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.