Triple
T14088919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkizovskaya |
E339070
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Cherkizovo area |
E1080434
|
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: Cherkizovo area | Statement: [Cherkizovskaya, namedAfter, Cherkizovo area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherkizovo area Context triple: [Cherkizovskaya, namedAfter, Cherkizovo area]
-
A.
Cherkizovo area
chosen
Cherkizovo area is a district in Moscow, Russia, known for its residential neighborhoods and proximity to the Cherkizovskaya metro station.
-
B.
Chyornaya Rechka area
Chyornaya Rechka area is a historical neighborhood in Saint Petersburg, Russia, known for its location along the Chyornaya Rechka (Black River) and its association with notable dueling sites and cultural landmarks.
-
C.
Kolomenskoye area
The Kolomenskoye area is a historic and scenic district in Moscow known for its former royal estate, churches, and expansive parkland along the Moskva River.
-
D.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
E.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefe88b481908b3dca1f019e7809 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.