Triple
T8325968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. G. Strijdom Tunnel |
E194954
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tzaneen |
E618562
|
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: Tzaneen | Statement: [J. G. Strijdom Tunnel, locatedNear, Tzaneen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tzaneen Context triple: [J. G. Strijdom Tunnel, locatedNear, Tzaneen]
-
A.
Tzaneen
chosen
Tzaneen is a large agricultural town in South Africa’s Limpopo province, known for its subtropical climate and extensive fruit farming.
-
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.
Giyani
Giyani is a town in northeastern Limpopo, South Africa, known as an administrative and commercial center for the surrounding rural 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7fba688190b696593dfb2cde5d |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95b22afc81909c867d83a1744139 |
completed | April 1, 2026, 10:01 p.m. |
Created at: March 30, 2026, 5:56 p.m.