Triple
T25401982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittlesford Parkway railway station |
E636447
|
entity |
| Predicate | isCommuterAccessPointFor |
P58512
|
FINISHED |
| Object | Cambridge |
—
|
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: Cambridge | Statement: [Whittlesford Parkway railway station, isCommuterAccessPointFor, Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommuterAccessPointFor Context triple: [Whittlesford Parkway railway station, isCommuterAccessPointFor, Cambridge]
-
A.
isCommuterHub
Indicates that a location functions as a central node where many commuters start, end, or transfer during their regular travel.
-
B.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
-
C.
isKeyCommuterStation
chosen
Indicates that a station functions as a major hub for regular commuter traffic, serving as a primary access or transfer point for daily travelers.
-
D.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
E.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f584fa51c481909a8f11b41f2b1d30 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:52 p.m.