Triple
T27243749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZKF |
E687281
|
entity |
| Predicate | associatedMainlineStation |
P65507
|
FINISHED |
| Object | London King’s Cross railway station |
—
|
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: London King’s Cross railway station | Statement: [ZKF, associatedMainlineStation, London King’s Cross railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMainlineStation Context triple: [ZKF, associatedMainlineStation, London King’s Cross railway station]
-
A.
associatedStation
chosen
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
B.
formerMainlineStation
Indicates that a station previously served as a mainline station but no longer holds that status.
-
C.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
-
D.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
E.
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.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: April 27, 2026, 10:39 a.m.