Triple
T18156508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabac |
E434644
|
entity |
| Predicate | drivingSkillRequirement |
P29486
|
FINISHED |
| Object | high precision |
—
|
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: high precision | Statement: [Tabac, drivingSkillRequirement, high precision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingSkillRequirement Context triple: [Tabac, drivingSkillRequirement, high precision]
-
A.
hasDrivingSkill
Indicates that an entity possesses the ability or competence to operate and control a vehicle.
-
B.
driverRequirement
chosen
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.
-
C.
drivingExperience
Indicates the extent or history of a person's involvement in driving vehicles, typically measured by duration, frequency, or level of skill.
-
D.
hasDrivingConditions
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.
-
E.
drivingExperienceGoal
Indicates a target or desired level of driving experience that an entity aims to achieve.
- 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_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_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.