Triple
T30378979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ExpressLanes on I-10 and I-110 |
E772768
|
entity |
| Predicate | tollVariationFactor |
P161320
|
FINISHED |
| Object | real-time traffic conditions |
—
|
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: real-time traffic conditions | Statement: [ExpressLanes on I-10 and I-110, tollVariationFactor, real-time traffic conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollVariationFactor Context triple: [ExpressLanes on I-10 and I-110, tollVariationFactor, real-time traffic conditions]
-
A.
tollVariesBy
chosen
Indicates that the amount of a toll changes depending on a specified factor or condition (such as time, vehicle type, or route).
-
B.
hasTollVariant
Indicates that an entity has a version or instance that requires paying a toll or fee for use or access.
-
C.
tollRoadOf
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
-
D.
tollingType
Indicates the specific method or basis by which a toll, fee, or charge is applied or calculated in a given context.
-
E.
tollRoadFunction
Indicates that a road segment operates as a toll facility, requiring payment from users for access or passage.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68516d72c8190a86c755b5907f5c4 |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8 p.m.