Triple
T9499551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novoperedelkino |
E229099
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object | Borovskoye Shosse |
E276240
|
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: Borovskoye Shosse | Statement: [Novoperedelkino, adjacentStation, Borovskoye Shosse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borovskoye Shosse Context triple: [Novoperedelkino, adjacentStation, Borovskoye Shosse]
-
A.
Borovskoye Shosse
chosen
Borovskoye Shosse is a Moscow Metro station on the Kalininsko–Solntsevskaya line serving the Borovskoye Highway area in western Moscow.
-
B.
Mozhayskoye Shosse
Mozhayskoye Shosse is a major highway in western Moscow that continues the city’s main radial route toward the Mozhaysk and Smolensk directions.
-
C.
Khoroshevskoye Shosse
Khoroshevskoye Shosse is a major roadway in Moscow that serves as an important traffic artery connecting central districts with the city’s northwestern areas.
-
D.
Pyatnitskoye Shosse
Pyatnitskoye Shosse is a Moscow Metro station serving as the northwestern terminus of the Arbatsko–Pokrovskaya Line.
-
E.
Rublyovo-Uspenskoye Highway
Rublyovo-Uspenskoye Highway is a prestigious roadway in the western outskirts of Moscow, known for passing through affluent suburban areas that host many elite residences and government dachas.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87dfc46e08190bea27c11b987cb6d |
completed | April 10, 2026, 4:35 a.m. |
Created at: March 30, 2026, 7:56 p.m.