Triple
T25050871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhymney railway station |
E627374
|
entity |
| Predicate | servesCommuterRouteTo |
P35023
|
FINISHED |
| Object | Cardiff |
—
|
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: Cardiff | Statement: [Rhymney railway station, servesCommuterRouteTo, Cardiff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCommuterRouteTo Context triple: [Rhymney railway station, servesCommuterRouteTo, Cardiff]
-
A.
operatesCommuterServiceBetween
Indicates that an entity runs a commuter transportation service connecting two specified locations.
-
B.
servesCommuterRailLine
Indicates that a location or facility provides access to and is a stop or station for a commuter rail line.
-
C.
hasCommuterServices
Indicates that a location or facility provides transportation services specifically intended for regular commuters, such as daily or frequent travelers between home and work or school.
-
D.
commuterServiceTo
chosen
Indicates a transportation service that regularly carries commuters to a specified destination.
-
E.
isCommuterService
Indicates that a transportation service operates primarily to carry passengers on regular, often short-distance routes between residential areas and workplaces or other daily destinations.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 18, 2026, 6:09 a.m.