Triple
T24251835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makhado |
E603548
|
entity |
| Predicate | distanceFromPolokwane |
P155336
|
FINISHED |
| Object | approximately 95 km north |
—
|
LITERAL 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: approximately 95 km north | Statement: [Makhado, distanceFromPolokwane, approximately 95 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPolokwane Context triple: [Makhado, distanceFromPolokwane, approximately 95 km north]
-
A.
distanceFromMahikeng
Indicates the measured distance between a given entity and the location of Mahikeng.
-
B.
distanceFromPretoria
Indicates the spatial distance between a given entity or location and the city of Pretoria.
-
C.
distanceToDurban_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Durban.
-
D.
distanceToNelspruit
Indicates the spatial distance between a given entity’s location and the location of Nelspruit.
-
E.
distanceToGaborone
Indicates the spatial distance between a given entity’s location and the city of Gaborone.
- F. None of above. chosen
Provenance (4 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b89eb8081909ccf37081add5cee |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:05 a.m.