Triple
T14430214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Арбатско-Покровская линия |
E357804
|
entity |
| Predicate | имеетПересадкуНаКольцевуюЛинию |
P90975
|
FINISHED |
| Object | на станции "Киевская" |
—
|
LITERAL 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: на станции "Киевская" | Statement: [Арбатско-Покровская линия, имеетПересадкуНаКольцевуюЛинию, на станции "Киевская"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетПересадкуНаКольцевуюЛинию Context triple: [Арбатско-Покровская линия, имеетПересадкуНаКольцевуюЛинию, на станции "Киевская"]
-
A.
hasAdjacentStationOnKoltsevayaLine
Indicates that one station is directly next to another station on the Koltsevaya (circle) metro line.
-
B.
hasPassengerTransfers
chosen
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.
stopsAtFewerStationsThan
Indicates that one transit service or route makes stops at a smaller number of stations than another transit service or route.
-
E.
hasShuttleLine
Indicates that there is a shuttle service or route operating between the related entities.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.