Triple
T10928550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pripyat River |
E258137
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | city of Pripyat |
E414459
|
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: city of Pripyat | Statement: [Pripyat River, near, city of Pripyat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Pripyat Context triple: [Pripyat River, near, city of Pripyat]
-
A.
Pripyat
chosen
Pripyat is an abandoned Ukrainian city near the Chernobyl Nuclear Power Plant, known for being permanently evacuated after the 1986 Chernobyl disaster.
-
B.
Pripyat
Pripyat is a major Eastern European river flowing through Ukraine and Belarus, historically significant as a waterway in the Dnieper basin and known for passing near the Chernobyl Exclusion Zone.
-
C.
Slavutych
Slavutych is a planned Ukrainian city built after the Chernobyl disaster to house evacuated workers and their families, known for its unique multinational architectural design.
-
D.
Livny
Livny is a historic town in western Russia known as one of the principal urban centers of Oryol Oblast.
-
E.
city of Poshekhonye
The city of Poshekhonye is a small historic town in central Russia known for its traditional cheese production and location along the Sogozha River.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709da23c819096f4bba1cd4ff5cb |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217475344819088b44b6efb2df1c8 |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.