Triple
T6472584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mopani District Municipality |
E145990
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Giyani |
E611309
|
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: Giyani | Statement: [Mopani District Municipality, administrativeCenter, Giyani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giyani Context triple: [Mopani District Municipality, administrativeCenter, Giyani]
-
A.
Giyani
chosen
Giyani is a town in northeastern Limpopo, South Africa, known as an administrative and commercial center for the surrounding rural region.
-
B.
Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
-
C.
Makhado
Makhado is a major town in South Africa’s Limpopo province, serving as an important commercial and administrative center in the Vhembe region.
-
D.
Polokwane
Polokwane is a city in South Africa’s Limpopo province that served as one of the venues for matches during the 2010 FIFA World Cup.
-
E.
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.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a3188488190a1b7452ede91ba5e |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70060c7788190aab7ca88615d6e71 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 22, 2026, 4:50 p.m.