Triple
T31675158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Хорошёвская |
E808379
|
entity |
| Predicate | имеетПересадкуНа |
P90975
|
FINISHED |
| Object | станция "Полежаевская" Таганско-Краснопресненской линии |
—
|
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 "Полежаевская" Таганско-Краснопресненской линии | Statement: [Хорошёвская, имеетПересадкуНа, станция "Полежаевская" Таганско-Краснопресненской линии]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетПересадкуНа Context triple: [Хорошёвская, имеетПересадкуНа, станция "Полежаевская" Таганско-Краснопресненской линии]
-
A.
hasPassengerTransfers
chosen
Indicates that passengers move or are transferred from one vehicle, route, or segment of a journey to another.
-
B.
hasIntermediateCity
Indicates that there is a city located between two other places along a route or connection.
-
C.
hasIntermediateStation
Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
-
D.
connectsTravelBetween
Indicates a relationship where something (such as a route, service, or mode of transport) enables or provides travel between two locations.
-
E.
numberOfIntermediateStops
Indicates the count of stops or pauses that occur between the starting point and the final destination in a journey or process.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:02 p.m.