Triple
T12589000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulvar Dmitriya Donskogo |
E300548
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object | Ulitsa Starokachalovskaya |
E265784
|
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: Ulitsa Starokachalovskaya | Statement: [Bulvar Dmitriya Donskogo, hasConnection, Ulitsa Starokachalovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulitsa Starokachalovskaya Context triple: [Bulvar Dmitriya Donskogo, hasConnection, Ulitsa Starokachalovskaya]
-
A.
Ulitsa Starokachalovskaya
chosen
Ulitsa Starokachalovskaya is a Moscow Metro station serving the Butovskaya Line in the southern part of Moscow.
-
B.
Kamarinskaya
Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
-
C.
Kuntsevskaya
Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
-
D.
Govardeyskaya
Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
-
E.
Vasilyeva
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec0a60c8190948706e8b2fcc0ad |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:06 p.m.