Triple
T1118150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free School Lane, Cambridge |
E11147
|
entity |
| Predicate | hasCyclingAccess |
P1709
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Free School Lane, Cambridge, hasCyclingAccess, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCyclingAccess Context triple: [Free School Lane, Cambridge, hasCyclingAccess, yes]
-
A.
hasBicycleFacilities
chosen
Indicates that appropriate bicycle-related infrastructure or amenities are available at or associated with the subject.
-
B.
rideSystem
Indicates that one entity uses or travels on a transportation system or service provided by another entity.
-
C.
hasRailTrail
Indicates that one location or entity possesses, includes, or is connected by a rail trail (a recreational trail converted from or running along a former or existing railway corridor) to another location or entity.
-
D.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
E.
hasRideSystem
Indicates that one entity (typically an attraction or ride) uses or is associated with a particular ride system or ride mechanism.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.