Triple
T9603963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuzminki |
E231921
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kuzminki District |
E866710
|
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: Kuzminki District | Statement: [Kuzminki, namedAfter, Kuzminki District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuzminki District Context triple: [Kuzminki, namedAfter, Kuzminki District]
-
A.
Kuzminki District
chosen
Kuzminki District is an administrative district (raion) of Moscow, Russia, known for its large Kuzminki Park and residential neighborhoods.
-
B.
Pytalovsky District
Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
-
C.
Kalachyovsky District
Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
-
D.
Urzhumsky District
Urzhumsky District is an administrative and municipal district in Kirov Oblast, Russia, centered around the town of Urzhum and comprising surrounding rural territories.
-
E.
Zavitinsky District
Zavitinsky District is an administrative and municipal district in Amur Oblast, Russia, centered around the town of Zavitinsk.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5cddf481909aa6b589bcb3e71a |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9330fa33c8190b507ad18362a6c64 |
completed | April 10, 2026, 5:27 p.m. |
Created at: March 30, 2026, 8:08 p.m.