Triple
T13543179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorna Valley |
E323441
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Waterfall City |
E323437
|
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: Waterfall City | Statement: [Vorna Valley, near, Waterfall City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterfall City Context triple: [Vorna Valley, near, Waterfall City]
-
A.
Waterfall City
chosen
Waterfall City is a large, modern mixed-use commercial and residential development in Midrand, South Africa, known for its corporate offices, retail centers, and contemporary urban planning.
-
B.
Water City
Water City is the popular nickname of Liaocheng, a Chinese city renowned for its extensive waterways and historic lakeside scenery.
-
C.
Rain City
Rain City is a popular nickname for Vancouver, a coastal Canadian city known for its frequent rainfall and lush, temperate climate.
-
D.
Rain City
Rain City is the popular nickname of Bogor, an Indonesian city renowned for its frequent rainfall and cool, lush climate.
-
E.
New City
New City is a community area on Chicago’s South Side that includes the historic Back of the Yards neighborhood and has long been associated with the city’s stockyards and industrial heritage.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f86f1248190922732247ff56f4d |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:45 p.m.