Triple
T35477704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 13 in Virginia |
E1025379
|
entity |
| Predicate | isNonTollOn |
P57334
|
FINISHED |
| Object | segments north of Chesapeake Bay Bridge–Tunnel |
—
|
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: segments north of Chesapeake Bay Bridge–Tunnel | Statement: [U.S. Route 13 in Virginia, isNonTollOn, segments north of Chesapeake Bay Bridge–Tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonTollOn Context triple: [U.S. Route 13 in Virginia, isNonTollOn, segments north of Chesapeake Bay Bridge–Tunnel]
-
A.
hasToll
Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
-
B.
isTollRoadDestination
Indicates that a location serves as a destination reachable via a toll road or requiring travel on a toll road to access it.
-
C.
isTollFacilityOf
Indicates that a facility (such as a toll booth, plaza, or gantry) is part of, or used to collect tolls for, a specific toll road or toll transportation infrastructure.
-
D.
nonTollSection
chosen
Indicates that a road segment or section is not subject to toll charges for its use.
-
E.
noTollDirection
Indicates that a specified direction or route segment does not require paying a toll.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.