Triple
T17966384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryansk Oblast |
E449218
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Klintsy |
E1099025
|
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: Klintsy | Statement: [Bryansk Oblast, containsCity, Klintsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klintsy Context triple: [Bryansk Oblast, containsCity, Klintsy]
-
A.
Klintsy
chosen
Klintsy is a city in western Russia known as an industrial and cultural center within Bryansk Oblast.
-
B.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
C.
Monastyryshche
Monastyryshche is a small town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
D.
Bronnitsy
Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
-
E.
Kostopil
Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1380960819089a3c0dd7cd57e5e |
completed | April 19, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c25fae48190b9ea3dca4539a9a0 |
completed | May 12, 2026, 7:14 p.m. |
Created at: April 10, 2026, 10:22 a.m.