Triple
T27500321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kołobrzeg railway station |
E694133
|
entity |
| Predicate | connectsToTransportNetwork |
P95666
|
FINISHED |
| Object | Polish railway network |
—
|
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: Polish railway network | Statement: [Kołobrzeg railway station, connectsToTransportNetwork, Polish railway network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToTransportNetwork Context triple: [Kołobrzeg railway station, connectsToTransportNetwork, Polish railway network]
-
A.
isInTransportNetwork
Indicates that an entity is part of, connected to, or contained within a specific transport network or system.
-
B.
usesTransportNetwork
Indicates that an entity makes use of a transport network (such as roads, rail, or transit systems) to move people, goods, or services.
-
C.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
D.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
E.
connectsToRailwayNetwork
chosen
Indicates that one entity is physically or functionally linked to a railway network, allowing access or 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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 1:10 p.m.