Triple
T8859489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicheslav Embankment |
E210848
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Dnipro riverfront |
E38828
|
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: Dnipro riverfront | Statement: [Sicheslav Embankment, partOf, Dnipro riverfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dnipro riverfront Context triple: [Sicheslav Embankment, partOf, Dnipro riverfront]
-
A.
Dnipro
chosen
Dnipro is one of Ukraine’s largest industrial and cultural centers, located on the Dnieper River in the central-eastern part of the country.
-
B.
Kyiv River Port
Kyiv River Port is a major inland port and transport hub on the Dnipro River serving passenger and cargo traffic for the city of Kyiv, Ukraine.
-
C.
Maidan
Maidan is a vast urban park and open field in central Kolkata, India, known as the city’s “lungs” and a major hub for recreation, sports, and public gatherings.
-
D.
Kiev railway junction
Kiev railway junction is a major rail hub in Kyiv that connects multiple national and international railway lines, serving as a key center for passenger and freight transport in the region.
-
E.
Dnipro City Hall
Dnipro City Hall is the main municipal government building of the city of Dnipro, Ukraine, housing its key administrative and executive offices.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e536648190ba8da1375478c24f |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b1b86481909ec0b78de043d8f8 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.