Triple
T18156361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casino Square |
E434639
|
entity |
| Predicate | trafficUseOutsideEvents |
P130666
|
FINISHED |
| Object | public road |
—
|
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: public road | Statement: [Casino Square, trafficUseOutsideEvents, public road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trafficUseOutsideEvents Context triple: [Casino Square, trafficUseOutsideEvents, public road]
-
A.
roadUse
Indicates that an entity utilizes or travels on a particular road or roadway for movement or transport.
-
B.
touristTraffic
Indicates the level, flow, or intensity of tourists visiting or moving through a particular place or area.
-
C.
roadTraffic
Indicates the presence, flow, or conditions of vehicles and movement along roads or streets.
-
D.
pedestrianActivity
Indicates that an entity is engaged in or associated with walking or other on-foot movement or behavior.
-
E.
EVAtime
Indicates a temporal relationship specifying when an electric vehicle (EV)–related event, action, or state occurs or is valid.
- F. None of above. chosen
Provenance (4 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.