Triple
T14928835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timiryazevskaya |
E372203
|
entity |
| Predicate | hasRussianName |
P20560
|
FINISHED |
| Object | Тимирязевская |
E946510
|
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: Тимирязевская | Statement: [Timiryazevskaya, hasRussianName, Тимирязевская]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Тимирязевская Context triple: [Timiryazevskaya, hasRussianName, Тимирязевская]
-
A.
Тимирязевская
chosen
Тимирязевская — это станция Московского метрополитена, расположенная на Серпуховско-Тимирязевской линии на севере Москвы.
-
B.
Воронцовская
Воронцовская — это станция Московского метрополитена, расположенная на Большой кольцевой линии.
-
C.
Черкизовская
Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
-
D.
Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
-
E.
Kutuzovskaya
Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded634e67881909daec9eaef188d09 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c4f9c481909642efccb29f71d4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:36 a.m.