Triple
T536170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambezi River |
E12331
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Caprivi Strip |
E14828
|
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: Caprivi Strip | Statement: [Zambezi River, flowsThrough, Caprivi Strip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caprivi Strip Context triple: [Zambezi River, flowsThrough, Caprivi Strip]
-
A.
Katavi Region
Katavi Region is a sparsely populated administrative region in western Tanzania known for its vast wilderness areas and the wildlife-rich Katavi National Park.
-
B.
Namibia
chosen
Namibia is a sparsely populated country in southwestern Africa known for its dramatic desert landscapes, diverse wildlife, and a legal system influenced by Roman-Dutch law.
-
C.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
D.
Northwestern Zambia
Northwestern Zambia is a sparsely populated, rural region of Zambia known for its upland plateaus, extensive forests, and role as a headwaters area for major southern African rivers.
-
E.
Garki
Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496da8e108190b4874c3b85290464 |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ed30d578819091c6c1f4c5eba301 |
completed | March 2, 2026, 1:51 a.m. |
Created at: March 1, 2026, 7:32 p.m.