Triple
T14134968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gariep River |
E350266
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Oranjemund |
E683115
|
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: Oranjemund | Statement: [Gariep River, passesNear, Oranjemund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oranjemund Context triple: [Gariep River, passesNear, Oranjemund]
-
A.
Oranjemund
chosen
Oranjemund is a remote diamond-mining town in southwestern Namibia, situated near the mouth of the Orange River on the border with South Africa.
-
B.
Lüderitz
Lüderitz is a coastal town in southwestern Namibia known for its Atlantic shoreline, nearby desert landscapes, and rich marine ecosystem influenced by the Benguela Current.
-
C.
Keetmanshoop
Keetmanshoop is a historic town in southern Namibia known as a regional commercial center and gateway to the surrounding semi-desert landscapes.
-
D.
Swakopmund
Swakopmund is a coastal city in Namibia known for its German colonial architecture, cool Atlantic climate, and popularity as a tourist destination and adventure-sports hub.
-
E.
Wolmaransstad
Wolmaransstad is a small agricultural and mining town in South Africa’s North West province, situated on a major national transport route.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf14439c81908b2a9999a35cc346 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 9, 2026, 11:57 p.m.