Triple
T3640898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M42 motorway |
E77183
|
entity |
| Predicate | usesTrafficManagement |
P18246
|
FINISHED |
| Object | smart motorway sections |
—
|
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: smart motorway sections | Statement: [M42 motorway, usesTrafficManagement, smart motorway sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTrafficManagement Context triple: [M42 motorway, usesTrafficManagement, smart motorway sections]
-
A.
hasTrafficManagement
chosen
Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
-
B.
trafficManagementStrategy
Indicates a method or plan used to control, organize, or optimize the flow of traffic within a transportation system.
-
C.
supportsTraffic
Indicates that one entity is capable of handling, carrying, or accommodating the flow or volume of traffic associated with another entity.
-
D.
regulatesTrafficBetween
Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
-
E.
hasTrafficFunction
Indicates that an entity performs, supports, or is assigned a specific function or role related to traffic management or control.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc357c3308190bd8801d68244a53e |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.