Triple
T10553507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackinac Bridge |
E249012
|
entity |
| Predicate | tollRoadFor |
P42653
|
FINISHED |
| Object | passenger vehicles |
—
|
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: passenger vehicles | Statement: [Mackinac Bridge, tollRoadFor, passenger vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollRoadFor Context triple: [Mackinac Bridge, tollRoadFor, passenger vehicles]
-
A.
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.
-
B.
hasTollBoothsAt
Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
-
C.
tollRoadServiceAreaFor
Indicates that a toll road service area is designated to serve or is associated with a specific toll road segment or route.
-
D.
tollFacilityName
Indicates the name assigned to a toll facility where tolls are collected.
-
E.
tollBridge
chosen
Indicates that passage across a bridge requires payment of a toll or fee.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52710869c81909b6db1a190825bad |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:34 p.m.