Triple
T14852869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A3 |
E349273
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Karoi |
E672883
|
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: Karoi | Statement: [A3, connects, Karoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karoi Context triple: [A3, connects, Karoi]
-
A.
Karoi
chosen
Karoi is a small agricultural and commercial town in northern Zimbabwe known as a service center for the surrounding tobacco-growing region.
-
B.
Kolmanskop
Kolmanskop is a famous ghost town in Namibia’s Namib Desert, once a prosperous German colonial diamond mining settlement now known for its sand-filled, abandoned buildings.
-
C.
Rustenburg
Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
-
D.
Hazyview
Hazyview is a small South African town in Mpumalanga known as a gateway to Kruger National Park and the scenic attractions of the surrounding Lowveld.
-
E.
Hartebeesfontein
Hartebeesfontein is a small mining town in South Africa’s North West Province, historically associated with gold and uranium extraction.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6506ace48190819504b93f575660 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.