Triple
T5553691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahnhofplatz Zürich |
E145585
|
entity |
| Predicate | hasPedestrianFeature |
P28273
|
FINISHED |
| Object | crosswalks |
—
|
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: crosswalks | Statement: [Bahnhofplatz Zürich, hasPedestrianFeature, crosswalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedestrianFeature Context triple: [Bahnhofplatz Zürich, hasPedestrianFeature, crosswalks]
-
A.
hasPedestrianFunction
Indicates that an entity serves a role, purpose, or function specifically related to pedestrians or pedestrian use.
-
B.
hasPedestrianCharacter
chosen
Indicates that something possesses qualities, features, or behavior characteristic of pedestrians or pedestrian use.
-
C.
hasPedestrianArea
Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
-
D.
hasPedestrianPriority
Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
-
E.
hasPedestrianSteps
Indicates that one location or structure is connected to another by pedestrian steps or stairways.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ff9c9c48190b5e587d58c6515d8 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.