Triple
T25628167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summit Road |
E642493
|
entity |
| Predicate | hasDrivingCondition |
P73396
|
FINISHED |
| Object | challenging in poor weather |
—
|
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: challenging in poor weather | Statement: [Summit Road, hasDrivingCondition, challenging in poor weather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrivingCondition Context triple: [Summit Road, hasDrivingCondition, challenging in poor weather]
-
A.
hasDrivingConditions
chosen
Indicates that a particular route, area, or time period is associated with specific driving conditions (such as weather, traffic, or road surface state) that affect how vehicles can be driven.
-
B.
hasDrivingSkill
Indicates that an entity possesses the ability or competence to operate and control a vehicle.
-
C.
driverRequirement
Indicates that a certain driver, qualification, or driving-related condition is required for an entity to perform or be associated with a particular role, task, or operation.
-
D.
canDrive
Indicates that one entity has the ability or permission to operate a vehicle or drive another entity.
-
E.
isDriven
Indicates that one entity operates or controls the movement of another entity, typically a vehicle or device.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa25423081908a40d12f99afebad |
completed | May 2, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 5:16 p.m.