Triple
T9499319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rasskazovka |
E229093
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object | Novoperedelkino |
E229099
|
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: Novoperedelkino | Statement: [Rasskazovka, hasAdjacentStation, Novoperedelkino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novoperedelkino Context triple: [Rasskazovka, hasAdjacentStation, Novoperedelkino]
-
A.
Novoperedelkino
chosen
Novoperedelkino is a Moscow Metro station serving the Novoperedelkino district in western Moscow.
-
B.
Novy Mir
Novy Mir is a prominent Soviet and Russian literary magazine known for publishing influential and often controversial works, including Aleksandr Solzhenitsyn’s "One Day in the Life of Ivan Denisovich."
-
C.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
D.
Shchyokino
Shchyokino is a town in Tula Oblast, Russia, known as a local industrial center and the administrative hub of its surrounding district.
-
E.
Taganana
Taganana is a historic coastal village on Tenerife in Spain’s Canary Islands, known for its dramatic cliffs, traditional architecture, and location within the Anaga mountain range.
- 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_69d12d412a008190adc82e1e3d56d107 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:56 p.m.