Triple
T22626781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Needles Highway |
E558441
|
entity |
| Predicate | hasDrivingChallenge |
P109338
|
FINISHED |
| Object | low tunnel clearances |
—
|
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: low tunnel clearances | Statement: [Needles Highway, hasDrivingChallenge, low tunnel clearances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrivingChallenge Context triple: [Needles Highway, hasDrivingChallenge, low tunnel clearances]
-
A.
hasDrivingSkill
Indicates that an entity possesses the ability or competence to operate and control a vehicle.
-
B.
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.
-
C.
drivingChallenge
chosen
Indicates a situation in which driving is made difficult or demanding due to conditions, obstacles, or required skills.
-
D.
canDrive
Indicates that one entity has the ability or permission to operate a vehicle or drive another entity.
-
E.
drivingExperience
Indicates the extent or history of a person's involvement in driving vehicles, typically measured by duration, frequency, or level of skill.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3e09ec8190af940c25c7e8e029 |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:01 p.m.