Triple
T33144429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey Turnpike bridge over Rancocas Creek |
E848250
|
entity |
| Predicate | hasTollOnRoad |
P3376
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [New Jersey Turnpike bridge over Rancocas Creek, hasTollOnRoad, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTollOnRoad Context triple: [New Jersey Turnpike bridge over Rancocas Creek, hasTollOnRoad, yes]
-
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.
hasTollSegment
chosen
Indicates that a route, road, or path includes a segment where a toll must be paid.
-
D.
isTollRoadVia
Indicates that a route or path involves traveling on a toll road for some or all of its course.
-
E.
hasTollBoothsAt
Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
- 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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:28 a.m.