Triple
T17720243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livoberezhna |
E442314
|
entity |
| Predicate | hasExitTo |
P29827
|
FINISHED |
| Object | Brovarskyi Avenue |
—
|
NE NERFINISHED |
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: Brovarskyi Avenue | Statement: [Livoberezhna, hasExitTo, Brovarskyi Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brovarskyi Avenue Context triple: [Livoberezhna, hasExitTo, Brovarskyi Avenue]
-
A.
Voznesensky Avenue
Voznesensky Avenue is a historic central street in Saint Petersburg, Russia, known for its 19th-century architecture and cultural landmarks.
-
B.
Brovarskyi Prospekt
chosen
Brovarskyi Prospekt is a major avenue in Kyiv, Ukraine, known for connecting the city with its eastern suburbs and serving as an important transport corridor.
-
C.
Kirovogradskaya Street
Kirovogradskaya Street is a street in Moscow, Russia, known for serving as one of the access points to the Yuzhnaya metro station.
-
D.
Vitebsky Avenue
Vitebsky Avenue is a major thoroughfare in Saint Petersburg, Russia, serving as an important transport artery within the Moskovsky District.
-
E.
Volodymyrska Street
Volodymyrska Street is a historic central thoroughfare in Kyiv, Ukraine, known for its significant landmarks, cultural institutions, and architectural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748520a881908dc3446d33236ff7 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:07 a.m.