Triple
T37941950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Тимирязевская |
E946510
|
entity |
| Predicate | имеет пересадку на |
P174429
|
FINISHED |
| Object | станция Тимирязевская Московского центрального диаметра D1 |
—
|
NE NERFINISHED |
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: станция Тимирязевская Московского центрального диаметра D1 | Statement: [Тимирязевская, имеет пересадку на, станция Тимирязевская Московского центрального диаметра D1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеет пересадку на Context triple: [Тимирязевская, имеет пересадку на, станция Тимирязевская Московского центрального диаметра D1]
-
A.
имеетПереход
chosen
Indicates that one entity has or includes a passage, crossing, or transition leading to another entity.
-
B.
hasPassengerTransfers
Indicates that passengers move or are transferred from one vehicle, route, or segment of a journey to another.
-
C.
hasIntermediateStation
Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
-
D.
occursDuringJourneyTo
Indicates that an event or action takes place while a journey to a specified destination is in progress.
-
E.
transportedBetween
Indicates that an entity is moved or conveyed from one specified location or state to another.
- F. None of above.
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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.