Triple
T17429300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-road (Great Britain) |
E423824
|
entity |
| Predicate | emergencyProvision |
P127423
|
FINISHED |
| Object | hard shoulder on many 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: hard shoulder on many sections | Statement: [M-road (Great Britain), emergencyProvision, hard shoulder on many sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergencyProvision Context triple: [M-road (Great Britain), emergencyProvision, hard shoulder on many sections]
-
A.
emergencyUse
Indicates that something is being used in response to an urgent or critical situation, typically as a temporary or exceptional measure.
-
B.
emergencyResponse
Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
-
C.
emergencyRole
Indicates that an entity holds a specific function, responsibility, or authority in emergency or crisis situations.
-
D.
emergency
Indicates that an entity is in a state of urgent danger or critical need that requires immediate attention or action.
-
E.
emergencyManagement
Indicates the relationship in which an entity plans for, coordinates, and directs actions to prepare for, respond to, and recover from emergencies or disasters.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fe9e28819092a80f5686eb362f |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.