Triple
T12866001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twee Rivieren Rest Camp |
E307720
|
entity |
| Predicate | nearbyFeature |
P2064
|
FINISHED |
| Object | Auob River |
E376921
|
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: Auob River | Statement: [Twee Rivieren Rest Camp, nearbyFeature, Auob River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auob River Context triple: [Twee Rivieren Rest Camp, nearbyFeature, Auob River]
-
A.
Auob River
chosen
The Auob River is an ephemeral river in the arid Kalahari region of southern Africa, known for its dry sandy bed that supports wildlife viewing within Kgalagadi Transfrontier Park.
-
B.
Abasha River
The Abasha River is a waterway in western Georgia that flows through the Samegrelo-Zemo Svaneti region before joining the Rioni River.
-
C.
Gilgil River
Gilgil River is a freshwater river in Kenya’s Rift Valley that feeds into Lake Naivasha and supports surrounding agricultural and wildlife ecosystems.
-
D.
Obva River
The Obva River is a tributary watercourse in Russia that feeds into the Kama River within the Volga basin.
-
E.
Awali River
The Awali River is a significant watercourse in Lebanon that flows through the region of Sidon before emptying into the Mediterranean Sea.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708e0b788190b72a3057e271c227 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cf863fc81908723f7f6b3d45510 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:38 p.m.