Triple
T5483390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazza Maggiore |
E123518
|
entity |
| Predicate | isCarFreeArea |
P63213
|
FINISHED |
| Object | mostly pedestrianized |
—
|
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: mostly pedestrianized | Statement: [Piazza Maggiore, isCarFreeArea, mostly pedestrianized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCarFreeArea Context triple: [Piazza Maggiore, isCarFreeArea, mostly pedestrianized]
-
A.
carFree
chosen
Indicates that an area, route, or zone is designated for use without cars or motor vehicles.
-
B.
isAccessibleForFreeParking
Indicates that a location or facility can be used for parking without any cost.
-
C.
hasFreeZone
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
-
D.
isFreeway
Indicates that a given road segment functions as a freeway, typically designed for high-speed, limited-access vehicular traffic.
-
E.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:10 p.m.