Triple
T30897034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kantemirovskaya railway platform |
E787048
|
entity |
| Predicate | transportInterchangeWith |
P15892
|
FINISHED |
| Object | Kantemirovskaya metro station |
—
|
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: Kantemirovskaya metro station | Statement: [Kantemirovskaya railway platform, transportInterchangeWith, Kantemirovskaya metro station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportInterchangeWith Context triple: [Kantemirovskaya railway platform, transportInterchangeWith, Kantemirovskaya metro station]
-
A.
interchangeStation
chosen
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
B.
transportTerminusFor
Indicates that a location serves as the endpoint or final stop for a particular transport route or service.
-
C.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
D.
transportHubType
Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
-
E.
transportationJunctionFor
Indicates a location that serves as a connecting point where multiple transportation routes or modes meet, intersect, or transfer.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 29, 2026, 8:49 p.m.