Triple
T25050899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhymney railway station |
E627374
|
entity |
| Predicate | isPartOfCommuterNetworkFor |
P8428
|
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, isPartOfCommuterNetworkFor, Cardiff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCommuterNetworkFor Context triple: [Rhymney railway station, isPartOfCommuterNetworkFor, Cardiff]
-
A.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
-
B.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
C.
usesPublicTransportNetwork
Indicates that an entity makes use of a public transportation system (such as buses, trains, trams, or subways) to travel or operate.
-
D.
operatesCommuterServiceBetween
Indicates that an entity runs a commuter transportation service connecting two specified locations.
-
E.
transportNetworkPartOf
Indicates that one transport network is a component or subdivision of a larger, encompassing transport network.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 6:09 a.m.