Triple
T90869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 66 |
E1824
|
entity |
| Predicate | hasLaneConfiguration |
P2128
|
FINISHED |
| Object | express lanes and general-purpose lanes in Northern Virginia |
—
|
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: express lanes and general-purpose lanes in Northern Virginia | Statement: [Interstate 66, hasLaneConfiguration, express lanes and general-purpose lanes in Northern Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaneConfiguration Context triple: [Interstate 66, hasLaneConfiguration, express lanes and general-purpose lanes in Northern Virginia]
-
A.
hasLanes
chosen
Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
-
B.
hasTollSegment
Indicates that a route, road, or path includes a segment where a toll must be paid.
-
C.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
D.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
E.
drivingSide
Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24eb82d408190b0f9c786152e8e4c |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.