Triple
T37704339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strøget |
E939158
|
entity |
| Predicate | pedestrianOnlyTraffic |
P6741
|
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: [Strøget, pedestrianOnlyTraffic, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pedestrianOnlyTraffic Context triple: [Strøget, pedestrianOnlyTraffic, yes]
-
A.
pedestrianOnly
chosen
Indicates that a path, area, or route is designated exclusively for pedestrians and prohibits vehicle access.
-
B.
pedestrianRestrictions
Indicates that there are specific rules or limitations governing where or how pedestrians may travel or access an area.
-
C.
hasPedestrianPriority
Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
-
D.
pedestrianizedAreas
Indicates areas where vehicle traffic is restricted or removed so that pedestrians have priority use of the space.
-
E.
pedestrianActivity
Indicates that an entity is engaged in or associated with walking or other on-foot movement or behavior.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:18 p.m.