Triple
T36854165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portal de l’Àngel |
E910748
|
entity |
| Predicate | pedestrianZoneType |
P46481
|
FINISHED |
| Object | shopping area |
—
|
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: shopping area | Statement: [Portal de l’Àngel, pedestrianZoneType, shopping area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pedestrianZoneType Context triple: [Portal de l’Àngel, pedestrianZoneType, shopping area]
-
A.
pedestrianizedAreas
Indicates areas where vehicle traffic is restricted or removed so that pedestrians have priority use of the space.
-
B.
hasPedestrianZoneStatus
chosen
Indicates whether an area or segment is designated as a pedestrian-only or pedestrian-priority zone and its corresponding status.
-
C.
hasPedestrianArea
Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
-
D.
pedestrianOnly
Indicates that a path, area, or route is designated exclusively for pedestrians and prohibits vehicle access.
-
E.
pedestrianFriendly
Indicates that an environment, route, or area is designed or suitable for safe, comfortable, and convenient use by pedestrians.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.