Triple
T16859838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otjozondjupa Region |
E409879
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Grootfontein |
E835849
|
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: Grootfontein | Statement: [Otjozondjupa Region, containsSettlement, Grootfontein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grootfontein Context triple: [Otjozondjupa Region, containsSettlement, Grootfontein]
-
A.
Grootfontein, Namibia
chosen
Grootfontein, Namibia is a small town in northern Namibia known historically as a mining and agricultural center and as the birthplace of model Behati Prinsloo.
-
B.
Gatsrand
Gatsrand is a rural area in South Africa historically noted as the site where Boer war hero Danie Theron was killed during the Second Anglo-Boer War.
-
C.
Hartebeesfontein
Hartebeesfontein is a small mining town in South Africa’s North West Province, historically associated with gold and uranium extraction.
-
D.
Kraaifontein
Kraaifontein is a residential suburb in the northern outskirts of Cape Town, South Africa, known for its mixed urban and semi-rural character.
-
E.
Groblershoop
Groblershoop is a small town in South Africa’s Northern Cape province, known as an agricultural center in the Orange River wine and grape-growing region.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b501f72881909f7600311705fb33 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb25300c8190a352037c21c244bd |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.