Triple
T5146205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notting Hill Carnival route (part) |
E116075
|
entity |
| Predicate | hasTrafficStatusDuringEvent |
P54933
|
FINISHED |
| Object | closed to regular vehicular traffic |
—
|
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: closed to regular vehicular traffic | Statement: [Notting Hill Carnival route (part), hasTrafficStatusDuringEvent, closed to regular vehicular traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrafficStatusDuringEvent Context triple: [Notting Hill Carnival route (part), hasTrafficStatusDuringEvent, closed to regular vehicular traffic]
-
A.
hasTrafficRegime
Indicates that a specified traffic control or regulatory system applies to a given road, area, or transport context.
-
B.
legalStatusDuringEvent
chosen
Indicates the legal status or condition an entity holds specifically during the time period of a given event.
-
C.
hasTransportationEvent
Indicates that an entity is involved in or associated with a specific transportation-related occurrence, such as a trip, transfer, or movement event.
-
D.
hasHeavyTraffic
Indicates that a location, route, or area is experiencing a high volume of traffic, causing congestion or delays.
-
E.
hasCommuterTraffic
Indicates that there is regular, recurring traffic flow associated with people traveling between their homes and places of work or study.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.