Triple
T3809250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TEXpress Lanes |
E93089
|
entity |
| Predicate | tollPolicy |
P3913
|
FINISHED |
| Object | higher tolls during peak periods |
—
|
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: higher tolls during peak periods | Statement: [TEXpress Lanes, tollPolicy, higher tolls during peak periods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollPolicy Context triple: [TEXpress Lanes, tollPolicy, higher tolls during peak periods]
-
A.
tollingType
chosen
Indicates the specific method or basis by which a toll, fee, or charge is applied or calculated in a given context.
-
B.
tollIntroduced
Indicates that a toll was established or put into effect for using a particular route, facility, or service.
-
C.
tollExemption
Indicates that an entity is not required to pay a toll or fee that would normally be charged for using a particular route, facility, or service.
-
D.
hasToll
Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
-
E.
appliesTollTo
Indicates that a fee or charge is imposed on a subject for using, accessing, or passing through something.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:16 p.m.