Triple
T16315544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent Square |
E396162
|
entity |
| Predicate | bikeFriendliness |
P1709
|
FINISHED |
| Object | moderate bike-friendly infrastructure |
—
|
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: moderate bike-friendly infrastructure | Statement: [Regent Square, bikeFriendliness, moderate bike-friendly infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bikeFriendliness Context triple: [Regent Square, bikeFriendliness, moderate bike-friendly infrastructure]
-
A.
bikeType
Indicates the specific kind or category of bicycle associated with an entity.
-
B.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
C.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
D.
hasBicycleFacilities
chosen
Indicates that appropriate bicycle-related infrastructure or amenities are available at or associated with the subject.
-
E.
bikeCategory
Indicates the classification or type of a bicycle that an entity is associated with.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.