Triple
T6721826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDQ |
E153412
|
entity |
| Predicate | refersToStationRole |
P4342
|
FINISHED |
| Object | major station in Cardiff rail network |
—
|
LITERAL FINISHED |
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: major station in Cardiff rail network | Statement: [CDQ, refersToStationRole, major station in Cardiff rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToStationRole Context triple: [CDQ, refersToStationRole, major station in Cardiff rail network]
-
A.
associatedWithStationRole
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
B.
refersToRole
chosen
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
C.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
D.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
E.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d139d50c81908b19120f139deaa5 |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:07 p.m.