Triple
T9499526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramenki |
E229098
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ramenki District |
E285361
|
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: Ramenki District | Statement: [Ramenki, namedAfter, Ramenki District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramenki District Context triple: [Ramenki, namedAfter, Ramenki District]
-
A.
Ramenki District
chosen
Ramenki District is a residential and educational area in western Moscow, known for its universities, green spaces, and proximity to major city transport routes.
-
B.
Gusu District
Gusu District is the central urban district of Suzhou, China, known for its historic canals, classical gardens, and well-preserved ancient cityscape.
-
C.
Inukami District
Inukami District is a rural administrative district in Shiga Prefecture, Japan, known for its small towns and scenic countryside.
-
D.
Govuro District
Govuro District is an administrative district located in Inhambane Province in southern Mozambique.
-
E.
Bikinsky District
Bikinsky District is an administrative and municipal district in Khabarovsk Krai in Russia, known for its rural localities and position in the Russian Far East.
- 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_69d13a0a5ec881908bb1643d2bea2c9f |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:56 p.m.