Triple
T31055903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kastrychnitskaya |
E791395
|
entity |
| Predicate | isTransferStationTo |
P87149
|
FINISHED |
| Object | Kupalawskaya |
—
|
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: Kupalawskaya | Statement: [Kastrychnitskaya, isTransferStationTo, Kupalawskaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTransferStationTo Context triple: [Kastrychnitskaya, isTransferStationTo, Kupalawskaya]
-
A.
isTransferStationWith
chosen
Indicates that a station functions as an intermediate transfer point where passengers or goods can switch between different routes, lines, or modes of transport.
-
B.
isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
-
C.
isTransportHubType
Indicates that something serves as or belongs to a particular category of transport hub (such as a station, port, or terminal).
-
D.
appliesToTransitStation
Indicates that something (such as a rule, feature, condition, or attribute) is specifically relevant or applicable to a transit station.
-
E.
hasInterchangeStationWith
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 29, 2026, 9 p.m.