Triple
T12159300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villiers Street |
E289661
|
entity |
| Predicate | hasPedestrianisation |
P46481
|
FINISHED |
| Object | partially pedestrian-focused |
—
|
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: partially pedestrian-focused | Statement: [Villiers Street, hasPedestrianisation, partially pedestrian-focused]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedestrianisation Context triple: [Villiers Street, hasPedestrianisation, partially pedestrian-focused]
-
A.
hasPedestrianisationProjects
Indicates that an entity is involved in or associated with projects aimed at restricting or redesigning areas for pedestrian use.
-
B.
pedestrianizedSince
Indicates that an area or street has been designated for pedestrian use only starting from a specific point in time.
-
C.
pedestrianizedDuring
Indicates that a location or route is designated for pedestrian-only use during a specified time period or interval.
-
D.
hasPedestrianZoneStatus
chosen
Indicates whether an area or segment is designated as a pedestrian-only or pedestrian-priority zone and its corresponding status.
-
E.
hasPedestrianPlazaOn
Indicates that a pedestrian plaza is located on, or directly associated with, a specified surface, structure, or area.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.